{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting with Pandas\n",
    "The `plot()` method is available on `Series` and `DataFrame` objects. Many of the parameters get passed down to matplotlib. The `kind` argument let's us vary the plot type.\n",
    "\n",
    "## About the Data\n",
    "In this notebook, we will be working with 2 datasets:\n",
    "- Facebook's stock price throughout 2018 (obtained using the [`stock_analysis` package](https://github.com/stefmolin/stock-analysis))\n",
    "- Earthquake data from September 18, 2018 - October 13, 2018 (obtained from the US Geological Survey (USGS) using the [USGS API](https://earthquake.usgs.gov/fdsnws/event/1/))\n",
    "\n",
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "fb = pd.read_csv(\n",
    "    'data/fb_stock_prices_2018.csv', index_col='date', parse_dates=True\n",
    ")\n",
    "quakes = pd.read_csv('data/earthquakes.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evolution over time\n",
    "Line plots help us see how a variable changes over time. They are the default for the `kind` argument, but we can pass `kind='line'` to be explicit in our intent:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11200bd0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.plot(\n",
    "    kind='line',\n",
    "    y='open',\n",
    "    figsize=(10, 5),\n",
    "    style='b-',\n",
    "    legend=False,\n",
    "    title='Evolution of Facebook Open Price'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We provided the `style` argument in the previous example; however, we can use the `color` and `linestyle` arguments to get the same result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12410650>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.plot(\n",
    "    kind='line',\n",
    "    y='open',\n",
    "    figsize=(10, 5),\n",
    "    color='blue',\n",
    "    linestyle='solid',\n",
    "    legend=False,\n",
    "    title='Evolution of Facebook Open Price'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also plot many lines at once by simply passing a list of the columns to plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1230d8d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.iloc[:5,].plot(\n",
    "    y=['open', 'high', 'low', 'close'],\n",
    "    style=['b-o', 'r--', 'k:', 'g-.'],\n",
    "    title='Facebook OHLC Prices during 1st Week of Trading 2018'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating subplots\n",
    "When plotting with pandas, creating subplots is simply a matter of passing `subplots=True` to the `plot()` method, and (optionally) specifying the `layout` in a tuple of `(rows, columns)`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1253DFB0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1353CED0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x13559D50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x13571D70>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1358ED70>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x135A9D90>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.plot(\n",
    "    kind='line',\n",
    "    subplots=True,\n",
    "    layout=(3,2),\n",
    "    figsize=(15,10),\n",
    "    title='Facebook Stock 2018'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we didn't provide a specific column to plot and pandas plotted all of them for us."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing relationships between variables\n",
    "### Scatter plots\n",
    "We make scatter plots to help visualize the relationship between two variables. Creating scatter plots requires we pass in `kind='scatter'` along with a column for the x-axis and a column for the y-axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x136903b0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.assign(\n",
    "    max_abs_change=fb.high - fb.low\n",
    ").plot(\n",
    "    kind='scatter', x='volume', y='max_abs_change',\n",
    "    title='Facebook Daily High - Low vs. Volume Traded'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The relationship doesn't seem to be linear, but we can try a log transform on the x-axis since the scales of the axes are very different. With pandas, we simply pass in `logx=True`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1397a0d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.assign(\n",
    "    max_abs_change=fb.high - fb.low\n",
    ").plot(\n",
    "    kind='scatter', x='volume', y='max_abs_change',\n",
    "    title='Facebook Daily High - Low vs. log(Volume Traded)', \n",
    "    logx=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With matplotlib, we could use `plt.xscale('log')` to do the same thing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding Transparency to Plots with `alpha`\n",
    "Sometimes our plots have many overlapping values, but this can be impossible to see. This can be addressed by increasing the transparency of what we are plotting using the `alpha` parameter. It is a float on [0, 1] where 0 is completely transparent and 1 is completely opaque. By default this is 1, so let's put in a lower value and re-plot the scatter plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x140e6e10>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.assign(\n",
    "    max_abs_change=fb.high - fb.low\n",
    ").plot(\n",
    "    kind='scatter', x='volume', y='max_abs_change',\n",
    "    title='Facebook Daily High - Low vs. log(Volume Traded)',\n",
    "    logx=True, alpha=0.25\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hexbins\n",
    "In the previous example, we can start to see the overlaps, but it is still difficult. Hexbins are another plot type that divide up the plot into hexagons, which are shaded according to the density of points there. With pandas, this is the `hexbin` value for the `kind` argument. It can also be important to tweak the `gridsize`, which determines the number of hexagons along the y-axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x141d1f30>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QkRtr34i486DRXyOaqYPr/Tzzs8D/rbdSRG4SkX0ism98fLxeMcNoCXF66edotU1RbwZxa59mEkGwR5xO+X83RdzVijoYZN1eOorI7wJF4KP1yqjqLcAtAHv37rXkk4ZhrAkRb4wTusrM92F0MMi6CLaIvA5vEP75almADcOIIa1+eliNDq65YIvIjcBvAteram6t928YhhGGVnrArFYHWzqGLSIfB74BXCgih0XkjcDfAb3A50XkXhF5TyttMIwzwR4ANy/NeunYTB1saQ9bVV9TY/H7W7lPw2gGQaFu5cx8iUQikltcsVhsqT92MpmMVH4t02OtJc18udtMHbRIR8MI4ITaBbKUy2W6urro7OwEmjuuKSIMDAywtLRELpdbsTfv/MNbHTzT0dFBKpUil8s19PlOpVJ0d3dvWE+ROB6XCbax6QkKpRPqYM8xl8uxsLCwTLihORe08/fu6Oggn88zPz+/zB4n1J2dnWsmIMlkkt7eXkqlUk3hTqfTZLNZUqmNLR8m2IYRQ0qlEqVSiYWFhbqP+C4CcGFhgWw2S0dHR1NtEBE6OjrIZDLk83kWFxfJZDJrKtTVBIV7YWGBcrm8KYTaYYJtGDHE9arDoKrk83kymUxLLmgn3M2+IZwJyWSSnp6e9TZjTbEEBoZhGG2E9bANwzDaBBNswzCMNsEE2zBiisuEbhgOE2zDiCEu44ybWnQ9M84Y8SCOMzWCCbZhVC5MJ9y1Allcaqy4XshG8zEvEcOIMU6InVvd0tIS5XK54gttQr25iOPvbYJtGFUEhTv43dhcxPF3N8E2jDrE8YI11oa4PlGZYBuGYdTABNswDKNNsJeOhmEYbYL1sA2jibQysYCxubExbMNoIs5H2v2P48XVblQHDG32No3j8ZtgG22FqqKqLCwssLS0RCKRIJvNkk6ngXheZHHHCfXS0hILCwsAdHV1bXq3xjgetwm20RYEhXpxcbGyvFQqMTs7SzKZXCbcEM8LLi4Ee9NOqIO5Jefn5ytZdoJzc2+mNo3jsZpgG7GnUChUsrDUIyjcvb29sXzDHyeKxSLFYnHFuVPK5TLz8/Pkcjl6enqW3Qw3OpbAwDBWydzcXOjM4qVSiWKxGKuMLXFkcXGxYZJdh8uys5kEG6yHbRiG0TaYYBuGYbQJcRTs+A3SGIZhxADni93oL0Q9/ygiJ0TkvsCyIRH5vIg87P8fDGOTCbaxprjx0CjZXSwTTPOJa2BIXAgr1iHb8APAjVXLfgv4gqqeD3zB/96Qlg6JiMg/Ai8FTqjqpf6yIeATwB7gIPAqVZ1qpR3G+qOqzM/PMz4+XnmBNTo6Sk9PT92TvlAonJZIYCWcT3Ymk7EoyAZ0d3fT3d1dcZOs18YiUknesNlolpeIqt4pInuqFv8IcIP/+YPAHcBvNrSpKRbV5wM06c5itCeqyuzsLI8//jhHjx6teCYUCgXGxsZ4/PHHmZ2dXSYYhUKBmZkZTp06RbFYbLiPRCJBT08PAwMDZDIZ6z2GwLVRV1cXg4ODlWw6wfXV6zZbmzaxh12Ls1R1DMD/vyXMRi3tYTfzzmK0H7Ozs4yPj1MsFmv24FS1ItzJZJKRkRFUlVKpFKr+RCJBd3e3RTmeAa7Nurq66Orqqvi6d3Z2Llu/GYlw7CMisi/w/RZVvaUFJq2Ll8iyO4uI1L2ziMhNwE0Au3btWiPzjGZQKpU4evRoqLKqSrFYJJ/PR3oM7enpIZVKbWpRaRbBvJbB75uViL3nCVXdG3EXx0Vkm6+B24ATYTaK9UtHVb1FVfeq6t7R0dH1NseISKsv+s34mN5qrE2fosVDIv8OvM7//DrgU2E2Wo8e9qruLIZhGGtJs146isjH8YaBR0TkMPAO4M+AW0XkjcATwI+HqWs9BNvdWf6MCHcWwzCMtaRZTxqq+po6q54fta5Wu/U17c5iGIaxVsR1aKjVXiJNu7MYhmGsJXEU7Fi/dDTaFxGJ5MEhIqHd+RyFQsGiII2W0eKXjqvCJn8yWkIikeCcc86p+GKXSqWa4ioiJJPJStRjqVRifn5+RfF2QR2dnZ2x7AUZG4M4nlsm2EbLEBH6+vro7e1lbm5uWRBNUKh7e3srF0cikWBgYIBCoXCacJtQG2uFJTAwNi0iQm9vLz09PczNzTE9Pc3AwMCK84ik0+mKcC8sLJBOp02ojTUljueaCbaxZjjh7u3tDb1NOp3edJlOjHhggm0YhtEmmGAbhmG0CSbYhmEYbcCmDJwxNj6qSrlcJplMrrcpa0bUY3ZTxiaTyViKgFEb8xIxNgyqyuLiIgsLC6gqyWSS7u7uDT3dablcrhwzeC9Es9ksqVTty6hWG2WzWdLp9IZto41EHH8jE2wjEtUi5CiVSpw6dWpDilK1UDtcZpxUKlU5Zli5jWZnZ5clXtgobbQRieNvE1qwxbP+p4BzVfUPRWQXsFVV726ZdUZsUNWG+f/gKVFKJpOVBAPtiqqSy+UqWVjqUSwWKzerdDrN0tLSim1ULpcrwt3T02NuizEkrmPYUQZp/h64BnATOs0C72q6RUYsKRaLp/UYV2IjjGvn8/mGYh2kVCo1vKEFKZfLbX1D2+i0+1wiz1bVK0XkWwCqOiUimRbZZRjrjk0stblp95eOBRFJAgogIqNAuSVWGYZhrCNxHRKJIth/C9wObBGRPwFeCby9JVYZhmGsM20t2Kr6URHZj5d8QICXq+qBlllmGIaxjrS1YIvIEF7C3I8HlqVVtdAKwwyjEW6aVmN92ai/QxyPKcqo+v8A48BDwMP+58dF5H9E5FmtMM6ID4lEItIJ7KIBW4WqLvtrRf1r4eUSNctOnAi2/UZ8QdvuXiL/Bdyuqp8FEJEXATcCt+K5/D27+eYZcSGZTDI4OFgzIKQaF0jSCsFzIpHL5VhaWiKRSJDNZslkPIelM72A3HEtLS2dFiizEi7qMZlMsrS0RC6XW7GNXGRoO7o+VrdRuVyms7OTrq6u2L6si8pGSGCwV1V/3n1R1c+JyJ+q6q+ISEcLbDNiRjDjSy1Rqo74axbBXpwTake5XGZubu404Xb2RqkflotQGGqFp3d2dtLR0UE+nyeXyy2rywl1uwXLNGqjxcVFFhcXlwk3xHNYISxxtD2KYE+KyG8C/+x//wlgynf1M/e+TYSILBOlfD5PZ2dny0Qon89TKBSWCXU1QeHu7e2N1HMtFouRAoMSiUTDpwgRoaOjg0wmsyZt1GqKxSKlUqnhzcwJdzabpbOzcw0tbD7tLtg/CbwD+Dc8L5Gv+suSwKuab5oRd5wodXS09gGrupe6EuVymVKpFCmCsFgsksvlQpd3veQwj8xr1UatxiVHDks+n6ejoyOWoheWONoexa1vAnhzndWPNMccwzCM9afZY/Ei8jbgTXiBh98F3qCq4ec98Ini1ncB8GvAnuB2qvq8qDs1DMOIO8166SgiO4BfBi5W1QURuRV4NfCBqHVFGRL5JPAe4H1A+/oiGYZhhKDJQyIpoEtECkAWOLraSsJSVNV3r2YntWjWI4KxsVFVisViy93FEolES/3GNwKbrY0inG8jIrIv8P0WVb3FfVHVIyLyl8ATwALwOVX93GpsiiLYnxaRm/HmE6m8rlfVyag7beYjgrExcS584+PjLC0tVVwKgy5j1QSTJ0SJvuvs7KSzs7OmG14Q5x3T1dW16uNqV9yL00KhQC6Xqxvws1HaKGIHYUJV965Q1yDwI8A5wDTwSRF5rap+JKpdUQT7df7/Xw8sU+DcqDsN7PuMHxGMjYUT6hMnTlAoFJb5YC8sLJDL5SouY26MMSjUEP1R1pXPZDIVN7yFhYWKKFWLUBy9B1qNO+Z0Ok1/f/9pwr0R26iJx/AC4HFVHffrvQ24FmidYKvqOVErX6GuUI8IInITcBPArl27mrV7I6bMz8+fJtRB3LJcLkcul6Ovr4+RkZGKC9+ZXmDVwl0oFCiXyxWXvI0gQmdKLeEulUoVn+uN1EZNPJYngOeISBZP754P7Ft5k9pESnchIpcCFwMVj3hV/VDUnYZ9RPDHgW4B2Lt378abrMBYxtGjRyONkQ4MDLQk6W9QlILfjacIttFGzU3ZLC8RVb1LRP4Fbz6mIvAtfF2LShS3vncAN+AJ9n8CL8ELnoks2DTxEcHY3LRSKDaiCDWbjdpGzX7JrarvwAs8PCOi3EJeideVP6aqbwCuAFYbvlV5RPCT+z4fsLm1DcOIDe0+W9+CqpZFpCgifXhzY6/qhWMzHxEMwzBaQRyfHqII9j4RGQDeC+wH5oC7V7vjZj0iGIZhtIK2FmxVvdn/+B4R+S+gT1W/0xqzDKP5rCYzStRtWp19ZaNmd4kjcWznqF4iO4DdbjsRea6q3tkKw4zNR3d3N3Nzc6Gzl8zNzVVmhGt0cVVnRglb3n0OU979tWry+2oPmjgKykah7RMYiMif482B/T2emktEARNsoyls376dxcVFxsfHQ81NPTk5yezsLCMjI/T09NQUbieiCwsLLC4uNgzwCGZTcQkaVsqm4uqfn59nYmKCfD5Pb28vo6OjJJPJplz0Lt1aLpcjn8+fcaCQEY44tmuUHvbLgQtVtf4s8oZxhnR2drJz587Qwl0oFBgbGyOVSjEyMkJvb2/lQgsKtSO4rFYIda0UaG5S/o6ODrLZ7LL65+bmmJiYoFB4Khf17Owss7Oz9PT0MDo6WvEVjzq0At481Llcbln9pVKJ2dnZ04Qb4iky7Uoc2zKKYD8GpAnMI2IYrcIJ99LSEocOHWrY2y4Wixw7doyJiQnOOussRGSZUFdTLdzgCfNK+1laWmJpaYlkMomqMjU1tUxIq5mbm2Nubo6+vj62bt3a4IhP35fLtFMPJ9yJRIL+/v5YCkw7E8f2bCjYIvJ/8IY+csC9IvIFlk/+9MutM8/Y7HR0dJBMJikWi6HKF4tFTp06FTrDixPuKCwsLDA7Oxt6rN0NrUQRgCjZXcrlMuVyOVKWHWNl1sPHOgxhfmEX874f+PcW2mIYhhEb2vKlo6p+EEBEuoFFVS3535OsPtLRMAwj1sSxhx3lFvIFIPiGpgv47+aaYxiGEQ/iGJoeRbA7VXXOffE/Z5tvktFMSqVS3cnma1EsFllaCv9eWVXrTodar7wb0w1L1OzbpVKp5ZlRkslk6LKrCdYx1pewYh3nuUTmReRKVf0fABF5Ft7crkYMKRaLy9zBMpkM2Wy2rtAUi0UmJiY4deoU4Inkli1b6mYOKZfLFRc48Mb7uru76061qarMzMwwMTFBuVwmkUgwPDzMwMBAw5N+x44dqCqTk5NMTU01FGM3X7Zzw4sirmFwc0FXt3E1IsLAwADDw8OhLmxVJZ/PR3rhmE6nK8doUZDNJY5tGUWw34o3b7XLDLMNL5DGiBH1RCSfz5PP5ysXuPMoKBQKnDx5klOnTp3me/zkk0/S0dHB6Ogo2az3MFUt1I5yuVxxMctms2QyGUSEcrnMzMwMJ0+epFwuL/MvHh8fZ2JigpGREfr7++u+5HE9maGhIYaGhpiammJycrKhcDs3vGYLd3Au6L6+PkqlEvPz85U2FxEGBwcZGhoKFTGnqssCdcIQFOo4CstGII7tGmUukXtE5OnAhYAAD6hqRRVE5IWq+vkW2GiEoFo06lEoFJiZmSGZTJLL5VYMBVdVFhcXOXz4MJlMhsHBwYbudeVymbm5ORKJBKVSiampqUo0YK36VbUi3Fu3bqW3t7du3U74BgcHGRwcZHx8nOnp6RXtgaeEu7Ozk+7u7qZeiCJCKpWqCHcqlWJwcHCZvSuxuLgYSahTqRQ9PT0kEolYCspGoi29RIL4An1fndV/DphgrxMrPZrXYm5uLvSjt6pSKpUoFAqhRaJYLDI5GS4/sxNu14tvhLuQVgqMWWm7ViAidHR0RApgcSHtUejp6Wn6EI9xOu3shx2W+B2dYQRYi4uw1ePIcRSRjUoc27qZgm2vtg3D2DBsdME2DMPYMGx0wT7YxLoMwzDWlTgKdui3MCLy4yLS639+u4jcJiJXuvWq+opWGGgYxuamnpdRK3HumGH+1pIoe/s9VZ0Vke8DXgx8EHh3a8wyouBmaotyYqdSqUiuYaVSKVI0o3v5FuVCm5ubW+ar3QiXtCAMIhJ6xr8pX0tFAAAgAElEQVTVsproyqgz7OXz+U0TCenOo0KhwNTUVKikFs2k3SMdXXzzDwHvVtVPicgfNN8kIyxO3CYmJpiZmQGgq6urbjYVR2dnJ4ODg2zZsoXp6WlOnjy5oti7wJMwASAu9Hx8fJylpSXS6TTd3d2hAjyOHTvG5ORkJVCn0QUxPDxMX19fzcAfh6vDRVUCNQN/qglmmamV1KAaF0kapcclIvT391MoFMjlciveUILJCuL4qN5MXDu7IDDXLrlcjoWFBbq6uujs7Gx5O8SxnaMI9hER+QfgBcCfi0gH0XroRhNwolgulyuh5EEhcSd1Z2dnxa/ZnXjuRA+KytDQEAMDA5Ww8aBwh40QDAr1iRMnyOfzlXWFQoHp6WlSqRTd3d2V7Cv1yOfzHDlyhEwmw8jIyLJAl1rbpdNptm7dysjIyLL2qBbq4DFns1k6OztrCrcT6mB51261ohEbhfyHwYW61xLuzSjUhUKBhYWFmjcwd56thXA3OcBqAHgfcCmeR93Pquo3otYTRbBfBdwI/KWqTovINuDXo+7QODNmZ2fJ5XKVHnUtgtlUhoaGKr3ueidgIpFgcHCQgYEBJiYmKhdDmN5ioVBgbm6OqampZUJdTbFYZGZmhlQqFSq4JJ/Pc/ToUdLpNLt3724oiKlUqiLcU1NTlf3UOwYXQt/V1VUR7eqbWRDxc0F2dHSwtLREqVSis7OzqUEswTlKXEqyRje4jUK5XCafz7O4uBhqsjIn3FEnBgtLC4Y7/gb4L1V9pYhkWOXEeVFC03MichB4iYjcCHxNVT+3mp0aq2d6ejp0hhTXYwkbQSgi9PX1VSYSCkO5XGZ8fDz0+G3UceRCoUC5XA4tjKlUitHR0dD1i0jo9nHlXUqxVuHCzzcbUaM+obUzGzbrhaKI9AHPBV4PoKp5oH7vZiWbIuz09/FeNA4DI8A/icjbV7NTwzCMuNPEl47nAuN4mvktEXmfeAlhIhPlFvIa4CpVfYeqvgN4DvBTq9kpeGM6IvIvIvKAiBwQkWtWW5dhGEaziSDYIyKyL/B3U1VVKeBKPGeNZwLzwG+txqYoY9gHgU7AzbjTATy6mp36NGVMxzAMo9lEHMOeUNW9K6w/DBxW1bv87/9CqwRbnsqavgTcLyKf97+/EPjqanbazDGddkZVKRaLJJPJUONlqlrxnQ47dhf1pVixWKzMmx0GEaG3t3fFl6DVpNPpSGPZCwsLJBKJTTNLnTsvNssLR0cqlWq5r3wUmtX2qnpMRJ4UkQtV9UHg+cD3VlNX1KzptweW37GaHfoEx3Su8Ot+i6pGf+vQhrjMIrlcrvKyrpbLXbC8c/ly5ZxLWr2XfS7xQFdXV6gZ5AqFAhMTE8zOzqKqpFKpFd3J3Mu3oaEhtmzZQqFQ4NChQ0xMTNSs3/kcj46OVurL5XKhpkgdGxtblhRgowq3m3/c+Xy7Nl7Jw2ej4F54O++PMGnqwnZ0zsSmJvJm4KP+aMJjwBtWU0norOlNxo3pvFlV7xKRv8F7RPi9YCF/LOgmgF27drXAjLUlmAKquoe8sLBQ8Z92LnVBoQ66OrkLOegb7IQ7KNRhHuvy+TwTExOnJTIoFoucOnWKZDK5LPVXUEScLclkkmQyyXnnnceePXs4dOgQ4+PjlfUDAwOMjIycln2lu7ubbDYbSrhVlampKaamphgYGGBoaChylGBcqRbq4HJ3XjRyzWx3gr72wfOilnC7c7LVTyDNvBmo6r3ASsMmoQh9xovI+cD/B1yMN5btDDl3FfsNNaajqrcAtwDs3bu3reNxw2YWWVxcZHFxkUwmQ7FYrNuDdidqR0cHHR0dlEolent7K4EEjU7kYrHIiRMnVsw4A15IuhPubdu2nRaME8QJ99Oe9jT27NnD0aNHKxGLtU5+Z6e7QGdnZ1dMwuDsnJ6eZnp6muHh4UoarnbFCXKj88KV6+7ubpnvcVyoPi+ccAef+tbKhrgRpYvyT8A7gHcCP4DXpV/VETVzTKddiOpjulIQShB3UvX390e6kGdnZ5mdnQ1tTyaTCd3Dc2HoK6X7CuIujrDjl0H/8jheVGFxj/9RcLkyNwNB4e7o6FgToa7ef9yI0ufvUtUvAKKqh1T1D4DnncG+3ZjOd4BnAH96BnUZRD/BopbfLJMOGfFCRNZcrN1+m+SH3TSi9LAXRSQBPCwivwQcAbasdsfNGtMxDMNoBe3ew34rnq/0LwPPAl4LvK4VRhmGYaw3bd3DVtV7/I9z1HBJEZH/o6pvbpZhhmEY60W9F+XrTTP9oq5rYl3GGhB1TDqOj4hRWE1G86jbtDprurF2xPF3jN8tZIPh5oqO4jPs5ruOkkHGZSIJU75cLtPR0RGp/qWlJfL5fKipL8vlMqVSiUKhQLFYDL2PTCYTqpzj1KlToTPUuGMNe8ytLu+I+jJtM2WcWW/aekjEiEaYydhrbVMqlZifn6dQKJBIJCqRjbDyHd+lUXIBNbVOJpfm68iRI4yNjVEqlejo6KgkCahVv6qytLTE/Pw8J06cYGhoiD179pDJZE6LOCyXy5TLZY4cOcK+ffuYmZlhcHCQSy+9tDJt60rH0NvbSzabZX5+PpRb4/T0NLOzswwPD1fm2K6uP5hcwQVhBKMHa5UHKvOJqyodHR2VYKZ65ZeWliqRp+l0upLUYKXjddF9xWKR+fn5hhln1iJYxHiKOLZzMwU7fke3DgSFujpCcaVtgkLtKJfLzM/Pk8vlKllSoP6JFIyMC4qS67EfPnyYsbGxZcE4S0tLLC0tLRNuR61gn8nJSSYnJxkcHGTPnj0V3+9yucyTTz7J/v37OXXqVKX81NQUX/nKVxgYGOCSSy5hcHBwxVySyWSSvr6+Sns0Eu5SqcSJEyc4efJkJXuOa6N6Yc4uOKk67NtFHDqhrm6jWmnAgkLtKBQKzMzMLBNuZ1MtXLIFlxIreA4EI02NtaPtA2dEpFNVF6uWjaiqmzzib5pqWRviLniXkSQMCwsL5PP5hhF+Trj7+/tDDa844XG9t+PHj6+YZCAo3IlE4jTRqsaFibte34EDB1YMxJmenuZrX/sa/f39XH/99Q3tDwr31NRUw/KlUonx8XFOnjzJWWedRSKRaDgfhWsjd9NpFB6fz+fJ5/OVp4tGbeSEO5PJhEpIkEqlKj1ud4MwoV4/2v2l4z0i8nOq+k0AEfkxvFD1CwBU9QPNN6/9iBq5FiZc3RF1fBQ8YT158mTo8mEm3QkyOTnJE088ETrjTJRZ/eCpCX7C1l8ul5mbm6OjoyP0PqIec9goVEfUGehSqdSGmSelnWnrHjbwk8A/isgdwHa8zDNnEuloGIYRW9pasFX1uyLyJ8CHgVnguap6uGWWGYZhrBMbYQz7/cDTgMvxhkE+LSJ/p6rvapVxhmEY60UcBTvKqPp9wA+o6uOq+lm8nI5Xtsas9iXqS6J6CQJqoaqcPHky8jh5lAn/nXdL2LHyUqkUenwZvItgbm4u0jZRXdlKpVLol77w1LSwYUkkEpHGmON44RuNaWs/bFV9Z9X3GeCNTbeozent7a2414XJpuKmIF1pXmQ3ef/BgwcrgRPbt2/n6U9/Ot3dtZMvFwoF5ufnKwkEGvn6BhMZgBfEMjIycpqrn6NYLDI5Ocn09HTDY4SnEhkMDw9z5MgREokEw8PDFTe/lXBtFHZO8VwuRy6XI5PJ0N3dXVeMk8nksvmVnVtdvTZyfvHuhaZzu6zn4SNVyR6M9qHtQ9OluQkMNiRO2ESEbDZLV1dXQ+F227iMIkHhVlUmJycrQh3slR45coSjR4+ydetWLrrooorbmBPqoOi46Smdr29wfbVQBwNBxsbGSKVSjI6OVoS7WCxy8uTJirdHI/EUeSq1V9D/ulwuMzExUfGfHhwcrCusbhsXFNQoPZoj6IaXzWYrveJqoXb1B93qgsJdLdSufDKZpLe3l3K5TC6Xq3iPVAu19bDbkzj+buuSwGAz4B6XnHDPzs6u6N5VLdxHjhzh/vvvP02oHU7Qx8bGOHbsGGeffTa7d+9eUcSCwr2wsMAjjzxymlAHKZfL5PN5xsbGSCQSdHZ2VhIxhBkyGRwcrKQGqxdF6YZ5Tp48ybZt2+jt7a17oVQL9/z8fKinGCfcXV1dbN269TShrq4/KNyqWre8W+aCW7LZLMVisRJiH8cL3ghPHH+/9UxgsClwj1ZhfXGduD300EMsLi427EW6KEaXJizsPmZmZirpwRqJb7lcplgshi4PXq90dHR0xajG4DGoat3hl1r2u95+FHp6epblpmxUfzqdDlUeqGR1dxlh4nixG9Fo6zFsmpzAwGguqzl5XPh2q4jjzHWraaNWljfiSxx/yyiCHUxg8Ed4wyI/0wqjDMMw1pO2f+kIKF7QzG7A+a69F88v2zAMY0PR7j3sjwK/DnwXCO9EaxiG0Ya0u2CPq+q/t8wS44xYzVh0qyfCj+MJ32paPW4fx/cCG5U4tnOUQZp3iMj7ROQ1IvIK99cyyzYYUWaPK5fLbNu2LfSLxFKpxNGjR1laWgrlObG0tEQqlVrmO9wKonpxzM7ORpqRMEqbigi5XC50hpqoOLvXqn7LOtNawnqIRBF1EUmKyLdE5DOrtStKD/sNwNPxxq/dkIgCt61255uJnp4eurq6VhRJ5/d84sQJRIRzzz13WTRh9UVaKpXI5/N873vf48iRI6TTaa699lqe97znkUwmTwuTX1xcJJ/P8573vIePfexj5PN5nv3sZ/PKV76SbDZ7WoquqF4k7uQdHh5m165ddHV1VQJ1Vprv2030XywWmZqaIpvNnhakUgsXzOKCjVayyyWAcFl56mWciYprHxfM49LBBSMsz2Qfrv5gME+9QB6jubSgXd8CHAD6VltBFMG+QlUvW+2OjKci40qlUkW4XW/JCXVwnpBUKsWWLVsYGhqqCLfLTpPP57nvvvs4evRopXw+n+eOO+7ga1/7Gtdccw3Pf/7zSSaTlMtllpaW+Lu/+ztuvfXWZfM/f+Mb3+Cb3/wmV199Na985Svp6empCHdYsXYn9ujoKDt37qxkxnHHEIywDAp3Op2uJEBwuPmsXZadRqKUSCTo7u5eFiUaXOfqCG4fTFyQzWaXRaiGIdguQaF2FItFZmZmSKVSyyIsowhALaF2uJD4hYWFZcIddR/GyjTTS0REzgZ+CPgT4FdWW08Uwf6miFysqt9b7c4Mj6BwP/bYY8zOzq7YQ3TCPTw8zJ133llJ9VWPQqHAnXfeyde//nV27drF2NgYt99+e92evapy1113cffdd/OqV72qIvRhyGQyjI6Osm3bthWHKILC7TLbrDSBUlC4BwYGQgWuOOFeXFxcFsRSD5dlJ3iTCkOxWKRQKDTMOFMsFjl16hTpdLoyH0pYXCailYKhgink+vv7I01gZTQmws1vRET2Bb7foqq3VJX5a+A3gGgnQhVRBPv7gNeJyOPAEl5YuqqqufWtkmQyydTU1IrDBdXljx8/vqJYBykWi/zHf/wHDz/8cKjyqsqjjz7KDTfcEPriTyaT7Ny5M3T5qNlUoo4Ju151FILh5GFwk3uFJcrMgY4o9duYdvOJOFw2oap7V6jrpcAJVd0vIjeciV1RBPvGM9lRLUQkCewDjqjqS5tdv2EYxmpp4vDSdcDLROQH8SbO6xORj6jqa6NWFGV61UNRKw/BGQ/CG4ZhtIJmCbaq/jbw236dNwC/thqxhmhufU0lMAj/vvWywTAMox5xnPxpPYPl3SB83ahJEblJRPaJyL7x8fG1s2yVOG+MsOOJ5XI5UuYVVWVoaCjSC6zBwUG2bt0auvzo6Ghlbu0wRM3uLSL09PREegPf6OVbLZuiZpCJSpTMQqu5qBu9MG3GPoz6uLlEwvxFQVXvOJPh32hXW5MIOwjvv2m9BWDv3r2xfatSLpdPS1Tg5rWudSGVy2WOHTvGk08+GUqwndtfLpfjmc98JldccQVHjhzhnnvuqSQSqKarq4uzzjqLCy64gFKpxMTEBF/84hc5cuRIzfJ79uzh5ptvZu/evaRSKYrFIuPj45X5sqvJZDLs3LmTLVu2hBKLRCJRyTjjmJycZGpqqmEbzM/PMz8/X3HDqyfGzp/brXfpzuqJfbXbXVjctKvViQuqERG6urqWuTmGxd003XlVrxPgkjMkEgmLgmwycWzLdRFsmjgIv57UEmqH8wl2F2wikaBUKnH8+PGKUIeZ69oJtfMEcHf1Xbt2sWPHDsbGxrj77rsrwTXZbJazzjqLdDpdufsnEgm2bdvGq171KiYnJ/niF7/Ik08+CcDTnvY0br75Zp7xjGcs2yaTybBt2zZKpRInTpxYljps165djI6Ohp4n2mWccd8dQ0NDDA0NMTU1xeTkZMP2cG541cIdFK2gPS5ZQ7Vwn4l/dLB8Mpmkp6enZsaZsME/jfbhbvzV/t5BH/I4CstGII7tKuvtDhQYhF/xMWHv3r26b9++lYqsGapKLpcLle3EMT8/z9GjRyvhxY3I5/PMz883dNlygTRPPvkkhw4dIplMNnxMcz7El156KU9/+tOXCXUtyuUypVKJTCbD4OBgaJEYHh6uKdS16gcYGxur26OvRX9/f+XGsVL9rv0KhUIl0QA094J0v2urMs64Y8jn86GTKmxmRGT/Sq52jbjgggv0Xe96V6iyL3rRi85oX1FYrx52W1MulyOJNcDhw4cj+cq6eS8aISKkUikKhULocdV0Os3555/PJZdcEmqsN5FIkMlk6O/vDy0SLslu2OESIHI2+LDBIs6GlVJ9nSnipwoLk2FntfVD9LFtY/XEsZ3XXbBV9Q7gjnU2o+1ZzcnV6gna4zamuha2tHofcWrPjcxGSGBgGIaxaYjjzdEE2zAMowYm2IZhGG2CCXaMidt4a1TvndVmnGnlMcepPQ0jCnH1wonfqPoaEzVTSLBM2PKlUolUKhU6SKZQKFAoFCgWi6G2KZfLFXe7sC9KJiYmWFhYCJUVRkQolUqRbgqqumze7TBE8UIREebm5myWOqNlxDE0fdP2sJ1QLywsVMLJg5Fy1T+EKz8zM8PJkycplUokk0m6u7srfrHV5cvlMidOnODAgQPMzs6SSqUqod/VwqqqFItFJiYm+NKXvsThw4fJZDJcfvnlXHzxxTX9q51/9IkTJ5idnWVwcLASYCEiNcXeBXlMTExw6NAh9uzZw1VXXUVnZ+dpEX8u44zL0BLmZiAi9PX1MTw8HCl8G2DLli0MDg5y8uRJTp06VVOMRaQyB3cw+YBhNBvzEllnnAA4oa72pS4UCpVMIS7Fk9tmenqaycnJZWHOpVKJU6dOLRNuJ+zHjx/nwIEDywJBisUiY2NjpFIpRkZGKnOCONH90pe+dFoGmX379vGd73yHyy67bJnfdLFYXBaBCMtDoZ1wu+N1k90He72qyuOPP87jjz/O7t27ufrqq+nq6iKVSiEiaybUQdLpNFu3bmVkZISJiQlOnTpVWdfR0VERasNoNXHsDGwqwS4UCuTz+YaP6i7FE3g90pmZmRUnH3LCLSKcOHGCI0eOMD8/v2L9x44dY3x8nBMnTvDII49w7NixuuXz+Tz79+/nO9/5Dtdffz2JRGLF+oPCPTExcZpQ1+LQoUMcOnSIa665hiuvvDK0UKdSKfr6+hgcHIw8J0ejep1wz8zM0NXVZUJtrBlxHcPeVILtZtMLS6FQqPtoXotSqcRDDz0Uuv5SqcQ999wT2qZCocCJEydCz9bnTrgoxzw5OUkmkwn9OJhIJBgaGmpZeqpUKrVswijDWCtMsA3DMNoEE2zDMIw2wQTbMAyjDYjrXCLxs6iFiEgkDwbn/RGWcrlMb29v6B9aVRkcHAydsVtVefDBBzl+/Hjo8hAtK0w2m6VYLIYet6/lAmkYGwHzw15nMpkMmUymYaaQRCJBNpslk8lUXOKci1ktIXP1LS4usm3bNlR1xUn5nVvhwsIC5557Luecc07FL7qWTeVymSNHjvDAAw9UAl3OO+88XvziF7Nt27aa9RcKBRYWFkgkEvT391Mul5mbm6NQKNQ85qGhIa6++mq2bNnC/Pw8CwsLdHd3153OM+iaaIJtbETieF5vKsEOZgrp7u4mm80uE+6gULvy7tFoy5YtjI6OMjExwczMTEXIqxMZuG2GhoYYHBxcJtxBoYanQsNFhC1btjAyMsLJkyc5dOgQS0tLlMtlDh8+zAMPPECpVFomtg888ACPPPII55xzDjfeeCM7duyoCLWbS9vdXNxczX19facJ9/DwMFdffTWjo6PLesuuXDB7intCGRkZoaenJ7auT4bRDOJ4bm8qwQ7ihi1ciqdyubxiyihXfnR0lOHhYQ4cOLAsqKOaauF+7LHHOHHiRCV6sJ5Nrv67776bz372s5TL5Zq9YifODz/8MI8//jiXX345L3jBCyrr6tnkhDuTyfCsZz2r4pJX65hdEJDrcT/96U+nr6/PhNrYFMTxHN+0gu2ImikkkUiQz+eZnZ0NXb8LqGmU7iu4j69//euh/KedcLuhmLA27dixg5GRkVDj7apKd3d3pPF5w2hn4vrScdMLtmM1iVhbOfFQVHtWc3JF3YdNtGRsJqyHbRiG0SbEUbDj1+c3DMOIAc1y6xORnSLyJRE5ICL3i8hbVmuT9bANwzCqaPKL9SLwq6r6PyLSC+wXkc+r6veiVmSC7RM1+0qrx3PXIuNMVOL4iGgYraJZ57uqjgFj/udZETkA7AAiC/amHxIpFovk8/mKb3Ij4SuXyySTSTo6OkLV7/y1BwYGQtuUTCZ54QtfWJkitRFdXV2MjY2RTCZDRTVmMhnm5+dJpVKh57qen59ncXExdGYew2h3EolEqD9gRET2Bf5uqleniOwBngnctRqbNm0P26XfuvfeeysRhFu3buWqq65icHDwNN9kJ1THjh3jyJEjdSMGHc6Fb3JykkOHDp2WLKGWl0kymWRwcJCLL76Yl770pbzlLW/hQx/6EO9///srQTdBurq62LJlCzfffDPXXnstqsoTTzzBgw8+SKlUOi39VyaToaOjgxe/+MVceeWVJBIJJicnOXjwIPl8/rSoTHf87sZx+PBhOjs7GR0dpbOz0/yxjQ1NhHN7QlX3hqivB/hX4K2qWj+IY6U62qW3tHfvXt23b98Z1eHyK5ZKJb71rW9VhK2aLVu2cNVVVzE8PFz50cbGxjhy5EjDHIhOqIMRiyvh/D2Hhoa4+OKLa/bE5+bm+OhHP8p73/veir3bt2/n5ptv5uqrrz7txHIRkgcOHKBUKpFIJOjs7OQlL3kJV1xxxWlzV7tQ+oMHD1bSpYEn1F1dXTVP3M7OTkZGRirrTbiNOCEi+8OIaD0uu+wyve2220KVveCCCxruS0TSwGeAz6rqX63Wrk0l2EeOHOHgwYM88sgjK2aQcezYsYPzzjuP8fHxUOXL5TKHDh1iYmKi7jwl1Vx44YVs27aN/v7+hmVzuRyf+MQn2Lp1K3v37m0okuVymXw+z8jICJdddlnD4Q9V5ejRo0xMTFRC0RvR09PDtm3bYhlkYGxemiHYt99+e6iy559//or7Eu9C+iAwqapvXa1NsE5DIiKyE/gQsBUoA7eo6t+0er/z8/M8+uijocQX4OTJk2Sz2UhiFMzJGIZzzjkn9Hh4NpvlFa94RcPhGEcikeCCCy5g586docqLCL29vZW5SMKQz+dtTNvYkDTxqfE64KeB74rIvf6y31HV/4xa0XqNYTfNzcUwDKMVNNFL5KtAUypbF8FuppuLYRhGs7G5ROqwkpuL7x5zE8CuXbvW1C7DMDY3cXyRvq63kEZuLqp6i6ruVdW9o6OjZ7y/zs5Ozj777NA/RJRMLeC55Z1//vmhM8gkEgkKhULoMXWAwcHBSFlwwo6PB22KUn8qlYrliW0YZ4plnAngu7n8K/BRVQ3nP3OG7Ny5k+3bt7O4uMi+fft4/PHHa74wy2QyjI6Ohn7hmEqlGB4epr+/n6c97Wlce+21HDhwgG9/+9s13fqSySTbtm3j7LPPZmFhgcXFRTo6Oshms6e53Dn6+/sZGRmpnCBzc3McPHiQubm5muUHBwfZs2cPHR0dkaI4XWKHLVu2MD4+XnfO7+pEBoax0Yjjeb1eXiICvB84cCY+iavYL6lUip6eHq677jquuuoq9u/fz6OPPoqqkslk2LJlC11dXaGFemRkZNmk/m67iy++mIsuuogHH3yQe++9l8XFRZLJJNu3b2fHjh2njZEtLS2xtLREJpOhu7u7ErjT19dXmbc6WL6vr49LL72U+fl5Dh48WJmfe2hoiD179pDJZOqKf6M2cradddZZy7LsgHczGxkZobu72/yvjQ1NHM/t9ephN83NZbWk02nS6TTXXHMNz3jGM7j33nsjvWg466yz6O/vrytaTiwvuugiLrzwQh566KFKT3elfeTzefL5PGeddRZ79uw5TagdLvFCb28vl1xyCYuLi6RSKVKp1KqEuhZu3y59WaFQqPhnx/FkNoxmYS8dAzTTzeVMSafTzM7Okk6nQ/sep1Ip+vv7Q/2gTvSSyWQkf+Xt27eHGkN3wp3NZlsmosFjMKE2NgtxPNfX3UskLsTxx4nCWtjf7m1kGFGI4/lugm0YhlEDE2zDMIw2IK7vaUywDcMwamCCvQa4KVSjviCzCYwMwwgSRy+R+Fm0SlSVfD7P9PQ0c3NzkTKj9Pb20t3dHTr7SrlcDu1R4hgdHSWRSIS6iSQSCU6ePGk3EcNYRyzSsQWoKoVCgfn5+WUiOj09TTqdrkQPrtSw6XSayy+/nNnZ2Ur0YLUgOzF3EYqpVIpSqUQul1tx7uuOjg66uroYHh5m9+7dHD58mOPHj1cSHVTvo6+vj927d9PT07Oa5jAMownYGHYLKBaLzM7O1u3tFgoFZmZmlgk31B+b6u3t5bLLLmN2dpZDhw5VogfBS2ZQ7RvtAldqCbcT6mAQSyaT4dxzz2Xnzp0cPpG+TLkAAAhGSURBVHyYY8eOVdb19/eze/fuSPN4GIbROkywm4xLCtsIJ9zZbDZUUtve3l4uvfRS5ubmmJ2dZXR0dMUglqBw5/N5Ojo6VhxeSafTnHPOOZx99tlMTEzQ399PNpttaJdhGGuHCfY6E2VWPPDSX0UZmkgmk3R1dYUun06n2bZtWySbDMNYG0ywDcMw2gCbS8QwDKONsB62YRhGm2CCbRiG0SaYYDeZjo4OCoVC6CCWYrEYKfuKYRibE/PDbgHpdJqBgQHy+Ty5XK6ucCcSCbLZLJlMJpY/gmEY8cNeOrYAEaGjo4NMJnNaxKMJtWEYqyWOmtH2gu0QETKZDOl0mkKhAHg98Dg2umEY8SeO2hG/Pv8Z4oTbetWGYayWsBM/hdUYEblRRB4UkUdE5LdWa9eGE2zDMIxm0CzBFpEk8C7gJcDFwGtE5OLV2GSCbRiGUYMm9rCvBh5R1cdUNQ/8M/Ajq7Gpbcaw9+/fPyEih2qsGgEm1tqeVWB2Np92sdXsbD6NbN19JpXv37//s4lEYiRk8U4R2Rf4fouq3hL4vgN4MvD9MPDs1djVNoKtqqO1lovIPlXdu9b2RMXsbD7tYqvZ2Xxabauq3tjE6mp1w1eVncSGRAzDMFrLYWBn4PvZwNHVVGSCbRiG0VruAc4XkXNEJAO8Gvj31VTUNkMiK3BL4yKxwOxsPu1iq9nZfNrGVlUtisgvAZ8FksA/qur9q6lLLNGrYRhGe2BDIoZhGG2CCbZhGEabEFvBFpF/FJETInJf1fI3+yGe94vI/6qzbVPCQNfAzoMi8l0RubfKj3NN7BSRT/j7vte35d46265ZezbB1vVu02eIyDfd/kXk6jrbvk5EHvb/XhdjO0uBdl/Vi7Im2HqFiHzD/10/LSJ9dbZd0/N0XVDVWP4BzwWuBO4LLPsB4L+BDv/7lhrbJYFHgXOBDPBt4OK42ekvPwiMrFd7Vq3/38Dvr3d7nomtcWhT4HPAS/zPPwjcUWO7IeAx//+g/3kwbnb66+bWoi0b2HoPcL3/+WeBP6qx3Zqfp+vxF9setqreCUxWLf4F4M9Udckvc6LGpk0LA22xnWtKHTsBEC++9lXAx2usXtP2hDOydU2pY6cCrgfYT21/2xcDn1fVSVWdAj4PNDNQo1l2rjl1bL0QuNP//Hngx2psuubn6XoQW8GuwwXA94vIXSLyZRG5qkaZWmGgO9bEuqcIYyd4F83nRGS/iNy0hvZV8/3AcVV9uMa6OLRnkJVshfVv07cCfyEiTwJ/Cfx2jTJxaNMwdoIfdu0Pn7x87cxbxn3Ay/zPP87yIBRHHNq05bSbYKfwHiGfA/w6cKucPvtK08JAz4AwdgJcp6pX4s3i9Ysi8tw1tDHIa6jfY41DewZZyVZY/zb9BeBtqroTeBvw/hpl4tCmYewE2KVeCPhPAn8tIk9bKwMD/Czeb7kf6AXyNcrEoU1bTrsJ9mHgNvW4GyjjTQJTXaYpYaBnQBg7UdWj/v8TwO14j3VrioikgFcAn6hTJA7tCYSyNQ5t+jrgNv/zJ+vsPw5tGsbOYHs+BtwBPHMtjKuy4QFVfZGqPgvvZv1ojWJxaNOW026C/W/A8wBE5AK8lwvVM3Y1LQz0DGhop4h0i0iv+wy8CO/Rb615AfCAqh6usz4O7elY0daYtOlR4Hr/8/OAWkM3nwVeJCKDIjKIZ+dn18g+R0M7ffs6/M8jwHXA99bMwqfs2OL/TwBvB95To1icztPWsd5vPev94d1Jx4AC3t3zjXjC9xG8i/B/gOf5ZbcD/xnY9geBh/DuxL8bRzvx3mZ/2/+7fz3s9Jd/APj5qrLr1p5nYmsc2hT4PmC/b8NdwLP8snuB9wW2/VngEf/vDXG0E7gW+K5f5rvud1gHW9/in38PAX/GUxHa63qersefhaYbhmG0Ce02JGIYhrFpMcE2DMNoE0ywDcMw2gQTbMMwjDbBBNswDKNNMME2DMNoE0ywjaYiInPrvP+DfpCHYWw4TLANwzDaBBNsoyWIx1+IyH3+xPM/4S9PiMjfi5fY4TMi8p8i8so6dbxERG4NfL9BRD7tf36NX+99IvLnNbbdUzUJ/q+JyB/4n+8QkXeKyJ0ickBErhKR2/xkAn8c2Oa1InK3P3n/P4hIsmkNZBirwATbaBWvAJ4BXIE3B8hfiMg2f/ke4DLgTcA1K9TxeeA5/rwgAD8BfEJEtgN/jjcHxjOAq1Yx9WdeVZ+LNy/Fp4BfBC4FXi8iwyJykb+/61T1GUAJ+KmI+zCMpmKCbbSK7wM+rqolVT0OfBm4yl/+SVUtq+ox4Ev1KlDVIvBfwA/7M/X9EJ64XoWXIWXcL/NRvEwlUXATA30XuF9Vx9RLOPEY3qxvzweeBdwjXjqy5+PNVWIY60ZqvQ0wNiy15ideaXk9PoHX+50E7lHV2Tpzi1dTZHmHpLNq/ZL/vxz47L6nfDs/qKr1JvY3jDXHethGq7gT+AkRSYrIKF4P+G7gq8CP+WPZZwE3NKjnDrwcfz/HU/Ng3wVcLyIj/rjya/B68EGOA1v84Y0O4KUR7f8C8MrA1J5DIrI7Yh2G0VSsh220itvxxqe/jZf54zdU9ZiI/Cve8MJ9eFNh3gXM1KtEVUsi8hng9XiT7qOqYyLy23jDKYI3xeanqrYriMgf+vU/DjwQxXhV/Z6IvB0v3VgCb7rPXwQORanHMJqJTa9qrDki0qOqcyIyjNfrvs4fzzYMYwWsh22sB58RkQG8RA9/ZGJtGOGwHrYRC0TkduCcqsW/qaprnTrLMGKLCbZhGEabYF4ihmEYbYIJtmEYRptggm0YhtEmmGAbhmG0Cf8/rNwF1l6/0HAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.assign(\n",
    "    log_volume=np.log(fb.volume),\n",
    "    max_abs_change=fb.high - fb.low\n",
    ").plot(\n",
    "    kind='hexbin',\n",
    "    x='log_volume',\n",
    "    y='max_abs_change',\n",
    "    title='Facebook Daily High - Low vs. log(Volume Traded)',\n",
    "    colormap='gray_r',\n",
    "    gridsize=20, \n",
    "    sharex=False # we have to pass this to see the x-axis due to a bug in this version of pandas\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing Correlations with Heatmaps\n",
    "Pandas doesn't offer heatmaps; however, if we are able to get our data into a matrix, we can use `matshow()` from matplotlib:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, ''),\n",
       " Text(0, 0, 'open'),\n",
       " Text(0, 0, 'high'),\n",
       " Text(0, 0, 'low'),\n",
       " Text(0, 0, 'close'),\n",
       " Text(0, 0, 'volume'),\n",
       " Text(0, 0, 'log_volume'),\n",
       " Text(0, 0, 'max_abs_change')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "\n",
    "fb_corr = fb.assign(\n",
    "    log_volume=np.log(fb.volume),\n",
    "    max_abs_change=fb.high - fb.low\n",
    ").corr()\n",
    "\n",
    "im = ax.matshow(fb_corr, cmap='seismic')\n",
    "fig.colorbar(im).set_clim(-1, 1)\n",
    "\n",
    "labels = [col.lower() for col in fb_corr.columns]\n",
    "ax.set_xticklabels([''] + labels, rotation=45)\n",
    "ax.set_yticklabels([''] + labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "volume        0.642027\n",
       "log_volume    0.731542\n",
       "Name: max_abs_change, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fb_corr.loc['max_abs_change', ['volume', 'log_volume']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing distributions\n",
    "### Histograms\n",
    "With the pandas `plot()` method, making histograms is as easy as passing in `kind='hist'`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Volume traded')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.volume.plot(\n",
    "    kind='hist', \n",
    "    title='Histogram of Daily Volume Traded in Facebook Stock'\n",
    ")\n",
    "plt.xlabel('Volume traded') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can overlap histograms to compare distributions provided we use the `alpha` parameter. For example, let's compare the usage and magnitude of the various `magTypes` in the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'magnitude')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(8, 5))\n",
    "for magtype in quakes.magType.unique():\n",
    "    data = quakes.query(f'magType == \"{magtype}\"').mag\n",
    "    if not data.empty:\n",
    "        data.plot(\n",
    "            kind='hist', ax=axes, alpha=0.4, \n",
    "            label=magtype, legend=True,\n",
    "            title='Comparing histograms of earthquake magnitude by magType'\n",
    "        )\n",
    "plt.xlabel('magnitude') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kernel Density Estimation (KDE)\n",
    "We can pass `kind='kde'` for a probability density function (PDF), which tells us the probability of getting a particular value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Price ($)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.high.plot(\n",
    "    kind='kde', \n",
    "    title='KDE of Daily High Price for Facebook Stock'\n",
    ")\n",
    "plt.xlabel('Price ($)') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding to the result of `plot()`\n",
    "The `plot()` method returns a matplotlib `Axes` object. We can store this for additional customization of the plot, or we can pass this into another call to `plot()` as the `ax` argument to add to the original plot. \n",
    "\n",
    "It can often be helpful to view the KDE superimposed on top of the histogram, which can be achieved with this strategy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Price ($)')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = fb.high.plot(kind='hist', density=True, alpha=0.5)\n",
    "fb.high.plot(\n",
    "    ax=ax, kind='kde', color='blue', \n",
    "    title='Distribution of Facebook Stock\\'s Daily High Price in 2018'\n",
    ")\n",
    "plt.xlabel('Price ($)') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the ECDF\n",
    "In some cases, we are more interested in the probability of getting less than or equal to that value (or greater than or equal), which we can see with the cumulative disribution function (CDF). Using the `statsmodels` package, we can estimate the CDF giving us the empirical cumulative distribution function (ECDF):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'ECDF of earthquake magnitude with magType ml')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.distributions.empirical_distribution import ECDF\n",
    "\n",
    "ecdf = ECDF(quakes.query('magType == \"ml\"').mag)\n",
    "plt.plot(ecdf.x, ecdf.y)\n",
    "\n",
    "# axis labels (we will cover this in chapter 6)\n",
    "plt.xlabel('mag') # add x-axis label \n",
    "plt.ylabel('cumulative probability') # add y-axis label\n",
    "\n",
    "# add title (we will cover this in chapter 6)\n",
    "plt.title('ECDF of earthquake magnitude with magType ml')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This ECDF tells us the probability of getting an earthquake with magnitude of 3 or less using the `ml` scale is 98%:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'P(mag <= 3) = 98%')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.distributions.empirical_distribution import ECDF\n",
    "\n",
    "ecdf = ECDF(quakes.query('magType == \"ml\"').mag)\n",
    "plt.plot(ecdf.x, ecdf.y)\n",
    "\n",
    "# formatting below will all be covered in chapter 6\n",
    "# axis labels\n",
    "plt.xlabel('mag') # add x-axis label \n",
    "plt.ylabel('cumulative probability') # add y-axis label\n",
    "\n",
    "# add reference lines for interpreting the ECDF for mag <= 3 \n",
    "plt.plot(\n",
    "    [3, 3], [0, .98], 'k--', \n",
    "    [-1.5, 3], [0.98, 0.98], 'k--', alpha=0.4\n",
    ")\n",
    "\n",
    "# set axis ranges\n",
    "plt.ylim(0, None)\n",
    "plt.xlim(-1.25, None)\n",
    "\n",
    "# add a title\n",
    "plt.title('P(mag <= 3) = 98%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box plots\n",
    "To make box plots with pandas, we pass `kind='box'` to the `plot()` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.iloc[:,:4].plot(kind='box', title='Facebook OHLC Prices Boxplot')\n",
    "plt.ylabel('price ($)') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This can also be combined with a `groupby()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.1, 'Facebook OHLC Boxplots by Volume Traded')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.assign(\n",
    "    volume_bin=pd.cut(fb.volume, 3, labels=['low', 'med', 'high'])\n",
    ").groupby('volume_bin').boxplot(\n",
    "    column=['open', 'high', 'low', 'close'],\n",
    "    layout=(1, 3), figsize=(12, 3)\n",
    ")\n",
    "plt.suptitle('Facebook OHLC Boxplots by Volume Traded', y=1.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use this to see the distribution of magnitudes across the different measurement methods for earthquakes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'magnitude')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAACAhlWpVNTW1qZFixapra1NlUol7ZJi0ZJ2AQAAAACQhEqlomKxqHK5rP7+fjU3N6tQKEiS8vl8ytWNDSNyAAAAABpSqVRSuVxWZ2enWlpa1NnZqXK5rFKplHZpY0aQAwAAANCQarWa2tvbBy1rb29XrVZLqaL4EOQAAAAANKRcLqeenp5By3p6epTL5VKqKD4EOQAAAAANqVgsqlAoqFqtqq+vT9VqVYVCQcViMe3SxoyTnQAAAABoSAMnNOnq6lKtVlMul1OpVMr8iU4kghwAAACABpbP55XP59Xd3a2Ojo60y4kNUysBAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGNa0i4AAAAAAPaFmSXSrrsn0m6cGJEDAAAAkEnuHvk2/4LbIq+bBQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQiqlQqamtr06JFi9TW1qZKpZJ2SQAAAAAmqZa0C8iCSqWiYrGocrms/v5+NTc3q1AoSJLy+XzK1QEAAACYbBiRi6BUKqlcLquzs1MtLS3q7OxUuVxWqVRKuzQAAAAAkxBBLoJarab29vZBy9rb21Wr1VKqCAAAAMBklmiQM7N5ZvYNM/uFmdXM7NVJbi8puVxOPT09g5b19PQol8ulVBEAAACAySzpEblLJd3u7i+VdLSkTA5hFYtFFQoFVatV9fX1qVqtqlAoqFgspl0aAAAAgEkosZOdmNl+ko6T9E5JcvcdknYktb0kDZzQpKurS7VaTblcTqVSiROdAAAAAEiFuXsyDZv9taSrJD2kYDTuXknvdfetQ9Z7t6R3S9JBBx30ihtuuCGReuKyZcsWzZ49O+0yGgb9GS/6M170Z3zoy3jRn/GiP+NDX8aL/ozXO2/fqi+9dlbaZYyqs7PzXndfONp6SQa5hZL+W9Kx7v5jM7tU0h/d/WN7eszChQt97dq1idQTl+7ubnV0dKRdRsOgP+NFf8aL/owPfRkv+jNe9Gd86Mt40Z/xal2yWuuXnpR2GaMys0hBLslj5B6T9Ji7/zj8+RuSXp7g9gAAAABgUkgsyLn7/0naaGZ/GS5apGCaJQAAAABgDBI72UmoS9L1ZjZV0iOS3pXw9gAAAACg4SUa5Nz9Pkmjzu8EAAAAAESX9HXkAAAAAAAxI8hF1NXVpenTp6uzs1PTp09XV1dX2iUBAAAAmKSSPkauIXR1dWnFihVatmyZFixYoIceekgXXHCBJGn58uUpVwcAAAA0lqMvXqPNvTtjb7d1yepY25s7Y4ruv/CEWNuMiiAXwdVXX61ly5bpvPPOU3d3t8477zxJ0kc+8hGCHAAAABCzzb07Y7/mWxLX5Ys7GO4NplZGsH37dp199tmDlp199tnavn17ShUBAACMHzOLdOvs7Iy8rpml/bSATGNELoJp06bphBNO0Nq1a7V9+3ZNmzZNCxcu1LRp09IuDQAAYJ/szdS1+RfclkgNUUYz0py6BkxkBLkIjjjiCN199916/etfr3e961364he/qFtuuUVHHXVU2qUBAADsk12tH9CctIuIYJck6YGUqwAmHoJcBA8//LCOPfZY3XHHHbrllls0bdo0HXvssVq7dm3apQEAAOyTZ2pL0y4hkrkzpqRdAjAhEeQi2L59u9asWaOZM2fuPkhy27ZtmjVrVtqlAQAmuKNWJjR7Y2X8TT7wDkY9JpO9OZFEUsezuXsi7QKTAUEugmnTpmnFihW7z1YpSStWrOAYOQDAqJIIR0mceQ0YSdTAxb4JjB+CXARnnnmmPvShD+kzn/mMnnjiCT3vec/TE088oXPOOSft0gAAAABMQlx+IIJjjjlGs2fP1lNPPaVdu3bpqaee0uzZs3XMMcekXRoAAACASYggF0GpVNKqVau0Y8cOVatV7dixQ6tWrVKpVEq7NAAAAACTEEEuglqtpvb29kHL2tvbVavVUqoIAAAAwGRGkIsgl8upp6dn0LKenh7lcrmUKgIAAAAwmRHkIigWiyoUCqpWq+rr61O1WlWhUFCxWEy7NAAAAACTEGetjCCfz0uSurq6VKvVlMvlVCqVdi8HAAAAgPFEkAvtzYUuH3zwQS1evFiLFy8edV0udAkAAAAgbkytDLl7pNv8C26LvC4hDgAAAEASCHIAAAAAkDEEOQAAAADIGIIcAAAAAGQMJzsBAAAAMKHMyS3RUSuXxN/wynibm5OTpJPibTQighwAAACACeWZ2lKtXxpvQOru7lZHR0esbbYuWR1re3uDqZUAAAAAkDEEOQAAAADIGIIcAAAAAGQMQQ4AAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxnAdOQAAAAATTiLXaLs93jbnzpgSa3t7gyAHAEhMpVJRqVRSrVZTLpdTsVhUPp9PuywAwAQX98XApSAYJtFuWghyAIBEVCoVFYtFlctl9ff3q7m5WYVCQZIIcwAAjBHHyAEAElEqlVQul9XZ2amWlhZ1dnaqXC6rVCqlXRoAAJlHkAMAJKJWq6m9vX3Qsvb2dtVqtZQqAgCgcRDkAACJyOVy6unpGbSsp6dHuVwupYoAAGgcHCMHAEhEsVjUqaeeqlmzZmnDhg2aP3++tm7dqksvvTTt0gAAyDxG5AAAiTOztEsAAKChEOQAAIkolUq68cYb9eijj+rOO+/Uo48+qhtvvJGTnQAAEAOCHAAgEZzsBACA5BDkAACJ4GQnAAAkhyAHAEhEsVhUoVBQtVpVX1+fqtWqCoWCisVi2qUBAJB5nLUSAJCIfD4vSerq6lKtVlMul1OpVNq9HAAA7DuCHAAgMfl8Xvl8Xt3d3ero6Ei7HABAg9nbsyLbsmjrufs+VDO+mFoJAAAAIJPcPfKtWq1GXjcLCHIAAAAAkDEEOQAAAADIGIIcAAAAAGRMw5/s5OiL12hz785Y22xdsjrW9ubOmKL7Lzwh1jYBAAAwMe3tCTqiyMpxXYhPwwe5zb07tX7pSbG1l8SZ1+IOhgAAAJi4ooau1iWrY30fi8bC1EoAAAAAyBiCHAAAAABkDEEOAAAAADKGIAcAAAAAGUOQAwAAAICMIcgBAAAAQMYQ5AAAAAAgYwhyAAAAAJAxDX9BcAAAACBpR1+8Rpt7d8bebuuS1bG2N3fGFN1/4Qmxtol0EOQAAACAMdrcu1Prl54Ua5vd3d3q6OiItc24gyHSw9RKAAAAAMiYhh+Rm5NboqNWLom30ZXxNjcnJ0nxfoIDAAAAoHE1fJB7prY01mFuhrgBAGgMlUpFpVJJtVpNuVxOxWJR+Xw+7bIAIJKGD3IAAABDVSoVFYtFlctl9ff3q7m5WYVCQZIIc9gnicwCk5gJhj0iyAEAgEmnVCqpXC6rs7Nz92ybcrmsrq4ughz2SdyzwCRmgmFknOwEAABMOrVaTe3t7YOWtbe3q1arpVQRAOwdghwAAJh0crmcenp6Bi3r6elRLpdLqSIA2DsEOQAAMOkUi0UVCgVVq1X19fWpWq2qUCioWCymXRoARMIxcgAAYNIZOA6uq6tr91krS6USx8cByAyCHAAAmJTy+bzy+XwiJ5QAgKRNiiAX+9l5bo+3vbkzpsTaHgAAAIDG1vBBLu7TwLYuWR17mwAAAACwNzjZCQAgMZVKRW1tbVq0aJHa2tpUqVTSLgkAgIbQ8CNyAIB0VCoVFYtFlctl9ff3q7m5WYVCQZI4oQQAAGPEiBwAIBGlUknlclmdnZ1qaWlRZ2enyuWySqVS2qUBAJB5BDkAQCJqtZra29sHLWtvb1etVkupIgAAGgdBDmgAHIeEiSiXy6mnp2fQsp6eHuVyuZQqAgCgcXCMHJBxHIeEiapYLKpQKOzeN6vVqgqFAlMrATSs2C95JXHZK+wRQQ7IuPrjkAYualsul9XV1UWQQ6oG9r+uri7VajXlcjmVSiX2SwANKYnLU3HZK4yEIAdkHMchYSLL5/PK5/O7P2QAAADxSPwYOTNrNrOfmdltSW8LmIw4DgkAAGDyGY+TnbxXEkMDQEIGjkOqVqvq6+vbfRxSsVhMuzRAhx56qMxMnZ2dMjMdeuihaZcEAEBDSHRqpZm9UNJJkkqSzktyW8BkxXFImKgOPfRQbdy4Ucccc4ze//7363Of+5zuueceHXroofr1r3+ddnkAAGRa0iNyn5d0vqRdCW8HmNTy+bzWrVunO++8U+vWrSPEYULYuHGjDj/8cG3evFmnnnqqNm/erMMPP1wbN25MuzQAADIvsRE5MztZ0hPufq+ZdYyw3rslvVuSDjroIHV3dydVUmyyUGNWbNmyhf6MEf0ZL/pz7DZv3qwlS5boxS9+sR599FEtXbpUEq+jY8W+GS/6Mz70Zfzoz/g02v5p7p5Mw2afkvQ2SX2SpkvaT9JN7v7WPT1m4cKFvnbt2kTqiQungY0XZ7KLF/0ZL/pzbMxM+++/v7Zt26bt27dr2rRpmjlzpjZt2qSk/vdMFpN53zz64jXa3Ltz1PU2LDs5ke3PvyDaudvmzpii+y88IZEaJrLJvG8mgfed8crK/mlm97r7wtHWS2xEzt0/LOnDYTEdkj44UogDADSeTZs2qbW1VZ/4xCf0sY99TOvXr0+7JGTc5t6d0d7YLo3+YUESb+4SuTA0ANThOnIAgESYmWbOnKn169frbW97myRp1qxZ2rZtW8qVAQCQfeMS5Ny9W1L3eGwLADAxuLsOPPBA3Xrrrerv71dzc7NOP/10RuUATHpmFn3dZdHWY8r65MOIHAAgEdOmTdOxxx476NIYxx57rB5//PG0SwOAVEUNXVk5pgvpGI8LggNIWKVSUVtbmxYtWqS2tjZVKpW0SwJ05pln6vrrr9eDDz6oXbt26cEHH9T111+vM888M+3SAADIPEbkgIyrVCoqFosql8u7p68VCgVJ4npySNXNN98sKZhC5O67v958881avnx5ytUhq+bkluiolUvib3hlvM3NyUkSZxsEkByCHJBxpVJJ5XJZnZ2du6dglMtldXV1EeSQqo0bN+qYY47R3XffvXvfPPbYY3XPPfekXRoy7Jna0thPx85ZKwFkEVMrgYyr1Wpqb28ftKy9vV21Wi2lioA/+cY3vjHizwAAYN8wIgdkXC6XU09Pjzo7O3cv6+npUS6XS7EqIHDYYYept7d3988zZsxIsRoAABoHI3JAxhWLRRUKBVWrVfX19alarapQKKhYLKZdGia5lpYW9fb2qqkp+FfT1NSk3t5etbTwGSIAAGPFf1Mg4waOg6s/xXupVOL4OKSur69PkrRr165BXweWAwCAfUeQAxpAPp9XPp/nejOYcG666Sa96U1v2r1vfutb39Ipp5ySdlnIuEROJHJ7vG3OnTEl1vYAYCiCHAAgMe9///uVz+e1fft2TZs2TQcffHDaJSHj4j5jpRQEwyTaBYAkRTpGzgJvNbOPhz8famavSrY0AFF1dXVp+vTp6uzs1PTp09XV1ZV2SYCampq0YcMGbd++XZK0fft2bdiwYfcxcwAAYN9F/W96uaRXSxo46OYZSf+VSEUA9kpXV5cuv/xyzZs3T5I0b948XX755YQ5pG7gmLioywEAQHRRg9zfuPu/SnpWktx9k6SpiVUFILIVK1ZoxowZmjFjhpqamnZ/v2LFirRLAzR16lQdeeSRampq0pFHHqmpU/nXAQBAHKIGuZ1m1izJJcnMDpTUUB+pmlmk24ZlJ0de18zSflqYBPr6+jR79mxde+21uuOOO3Tttddq9uzZnBkQE8J73vMerVu3TnfeeafWrVun97znPWmXBABAQ4h6spMvSPqWpOeZWUkZfVvFAAAgAElEQVTSmyV9NLGqUuDukdbjrICYiI488shBlx848sgj9bvf/S7tsgBdeumluvTSS9MuAwCAhhNpRM7dr5d0vqRPSXpc0hvd/etJFgYguu9///s67rjjdPPNN+u4447T97///bRLAgAAQIJGHJEzs+fU/fiEpEr9fe7+h6QKAxBNS0uLmpqadM011+iKK67QlClTNHXqVE4oAQAA0MBGG5G7V9La8OvvJT0s6Zfh9/cmWxqyLOoxhJ2dnRxzOEb9/f3ab7/9dMghh8jMdMghh2i//fZTf39/2qUBOuOMMwad7OSMM85IuyQAABrCiEHO3V/s7i+RdIek17n7Ae7+XEknS7ppPApENrl7pNv8C26LvG7U4xgnmwULFuiss87SrFmzZGaaNWuWzjrrLC1YsCDt0gBdc801evjhh7Vr1y49/PDDuuaaa9IuCQCAhhD1ZCevdPezB35w9++Y2ScSqgnAXigWiyoWiyqXy+rv71dzc7MKhYJKpVLapQGSpJ07dw76CgAAxi5qkHvSzD4q6SsKLkHwVklPJVYVgN2iTik9/vjjB/28ePFiLV68eI/rM8IJAACQXVGvI5eXdKCCSxCskvS8cBmAhO3N1NO9maoKjJf6Y+QAAEA8Io3IhWenfG/CtQAAGsyUKVMGHSM3ZcoUplgCABCDSEHOzKoKplQO4u7HD7M6AACSguPimpqCyR/9/f1cFgMAgJhEPUbug3XfT5f0T5L64i8HANBoBsIbIQ7jaW8vWWPLoq3H1HQAE0XUqZVDrxl3t5ndlUA9AAAAY7Y3gau7u1sdHR3JFQMACYg6tfI5dT82SXqFpIMTqQgAkBl7O+oR9XGMegAAMLKoUyvvVXCMnCmYUvmopEJSRQEAsmGkwPXc5z5Xmzdv1qc//Wl9/rH5et8LN+j888/X3Llz9dRTXMEGAICxiBrkcu7+bP0CM5uWQD0AgAZx2WWX6ayzztKSJUu0c+dOLZkyRTNnztRll12WdmkAAGRe1OvI3TPMsh/FWQgAoLHk83ldeeWVOuKIIyRr0hFHHKErr7xS+TyXIQUAYKxGHJEzs4MlHSJphpm9TMHUSknaT9LMhGsDAGRcPp9XPp9X65LVWrf0pLTLAQCgYYw2tfJESe+U9EJJn61b/oykjyRUEwAAAABgBCMGOXdfKWmlmf2Tu39znGoCAAAAAIxgtKmVb3X3r0hqNbPzht7v7p8d5mEAAAAAgASNNrVyVvh1dtKFAAAAAACiGW1q5ZXh14vHpxwAAAAAwGgiXUfOzA6UdKak1vrHuPvpyZQFAAAAANiTqBcEv1nSDyV9T1J/cuUAAAAAAEYTNcjNdPcLEq0EAAAAABBJU8T1bjOzf0y0EgAAAABAJFGD3HsVhLleM/ujmT1jZn9MsjAAAAAAwPAiTa109zlJFwIAAAAAiCbqWStfPszizZI2uHtfvCUBAAAAAEYS9WQnl0t6uaQHwp+PknS/pOea2dnuviaJ4gAAAAAAfy5qkFsvqeDuD0qSmS2Q9CFJn5B0kySC3CRw9MVrtLl3Z+ztti5ZHWt7c2dM0f0XnhBrmwAAAMBEEjXIvXQgxEmSuz9kZi9z90fMLKHSMNFs7t2p9UtPirXN7u5udXR0xNpm3MEQAAAAmGiiBrn/NbMrJN0Q/nyqpIfNbJqk+IdoAAAAAAB7FPXyA++U9CtJ75P0fkmPhMt2SupMojAAAAAAwPCiXn6gV9Il4W2oLbFWBAAAAAAYUdTLDxwu6VOSFkiaPrDc3V+SUF0AAAAAgD2IOrXyi5KukNSnYCrllyVdl1RRAAAAAIA9ixrkZrj7nZLM3Te4+0WSjk+uLAAAAADAnkQ9a+WzZtYk6Zdmdq6k30h6XnJlAQAAAAD2JOqI3PskzZT0b5JeIemtkt6eVFEAAAAAgD2LOiLnCo6Jmy9pSrjsakl/lURRAAAAAIA9ixrkrpf0IUkPSNqVXDkAAAAAgNFEDXK/d/dbEq0EE96c3BIdtXJJ/A2vjLe5OTlJOineRgEAAIAJJGqQu9DMrpF0p6TtAwvd/aZEqsKE9ExtqdYvjTcgdXd3q6OjI9Y2W5esjrU9AAAAYKKJGuTeJemlCo6PG5ha6ZIIcgAAAAAwzqIGuaPd/ahEKwEAAAAARBL18gP/bWYLEq0EAAAAABBJ1BG5dknvMLNHFRwjZ5Lc3bn8AAAAAACMs6hB7rWJVgEAAAAAiCxSkHP3DUkXAgAAAACIJuoxcgAAAACACYIgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxhDkAAAAACBjCHIAAAAAkDFRryMHSJJal6yOv9Hb421z7owpsbYHAAAATDQEOUS2fulJsbfZumR1Iu0CAAAAjYyplQAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGO4IDgSYWbR110WvV1334dqAAAAgMaS2Iicmb3IzKpmVjOzB83svUltCxOPu0e6VavVyOsS4gAAAIBAkiNyfZI+4O4/NbM5ku41s++6+0MJbhMAAAAAGl5iI3Lu/ri7/zT8/hlJNUmHJLU9AAAAAJgsxuVkJ2bWKullkn48HtsDAAAAgEZmSR93ZGazJd0lqeTuNw1z/7slvVuSDjrooFfccMMNidYzVlu2bNHs2bPTLqNh0J/xeuftW/Wl185Ku4yGwf4ZH/bNeLFvxov+jA99GS/6M15Z6c/Ozs573X3haOsletZKM5si6ZuSrh8uxEmSu18l6SpJWrhwoXd0dCRZ0ph1d3droteYJfRnzG5fTX/GiP0zRuybsWLfjBf9GR/6Ml70Z7warT+TPGulSSpLqrn7Z5PaDgAAAABMNkkeI3espLdJOt7M7gtv/5jg9gAAAABgUkhsaqW790iKflVoAAAAAEAk43LWSgAAAABAfAhyAAAAAJAxBDkAAAAAyBiCHAAAAABkTKLXkQOwZ0dfvEabe3fG3m7rktWxtjd3xhTdf+EJsbYJAACAsSHIASnZ3LtT65eeFGubSVzoMu5gCAAAgLFjaiUAAAAAZAwjcgCAQZj2CwDAxEeQAwAMwrRfAAAmPqZWAgAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAyhiAHAAAAABlDkAMAAACAjCHIAQAAAEDGEOQAAAAAIGMIcgAAAACQMQQ5AAAAAMgYghwAAAAAZAxBDgAAAAAypiXtAgAAE8uc3BIdtXJJ/A2vjLe5OTlJOineRgEAyAiCHABgkGdqS7V+abwBqbu7Wx0dHbG22bpkdaztAQCQJUytBAAAAICMYUQOSAnT1wAAALCvCHJASpi+BgAAgH1FkAMwqZhZIu26eyLtAgAADIdj5ABMKu4e+Tb/gtsirwsAADCeCHIAAAAAkDEEOQAAAADIGIIcAAAAAGQMQQ4AAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxhDkAAAAACBjCHIAAAAAkDEEOQAAAADIGIIcAAAAAGQMQQ4AAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxrSkXQAAxOHoi9doc+/O2NttXbI6trbmzpii+y88Ibb2AADA5EWQA1IUZ0jY7fZ425w7Y0qs7SVlc+9OrV96Uqxtdnd3q6OjI7b2Evl9AwCASYkgB6Qk7tAhBUEhiXYx+fAhAwAAExtBDgAwCB8yAAAw8XGyEwAAAADIGIIcAAAAAGQMQQ4AAAAAMoZj5AA0hDm5JTpq5ZL4G14ZX1NzcpLEcWIAAGDsCHIAGsIztaVcfgAAAEwaTK0EAAAAgIwhyAEAAABAxhDkAAAAACBjOEYOQMNI5Bi02+Nrc+6MKbG1BQAAJjeCHICGEPeJTqQgGCbRLgAAwFgxtRIAAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxhDkAAAAACBjOGslgEnFzPZu/WXR1nP3fagGAABg3zAiB2BScffIt2q1GnldAACA8USQAwAAAICMIcgBAAAAQMYQ5AAAAAAgYwhyAAAAAJAxBDkAAAAAyBiCHAAAAABkDEEOAAAAADIm0SBnZq81s/81s1+Z2ZIktwUAAAAAk0ViQc7MmiX9l6R/kLRAUt7MFiS1PQAAAACYLJIckXuVpF+5+yPuvkPSDZLekOD2AAAAAGBSSDLIHSJpY93Pj4XLAAAAAABj0JJg2zbMMv+zlczeLendknTQQQepu7s7wZLGbsuWLRO+xiyhP+NHf8aH/TNe9GV82DfjRX/Gh76MF/0Zr0brzySD3GOSXlT38wsl/XboSu5+laSrJGnhwoXe0dGRYElj193drYleY5bQnzG7fTX9GSP2zxixb8aKfTNe9Gd86Mt40Z/xarT+THJq5U8kHW5mLzazqZLeIumWBLcHALGoVCpqa2vTokWL1NbWpkqlknZJAAAAgyQ2IufufWZ2rqQ7JDVLutbdH0xqewAQh0qlomKxqHK5rP7+fjU3N6tQKEiS8vl8ytUBAAAEkpxaKXf/tqRvJ7kNAIhTqVTS4sWL1dXVpVqtplwup8WLF6tUKhHkAADAhJFokAOArHnooYe0bdu2PxuRW79+fdqlAQAA7JbkMXIAkDlTp07Vueeeq87OTrW0tKizs1Pnnnuupk6dmnZpAAAAuzEiBwB1duzYoeXLl+tlL3uZ+vv7Va1WtXz5cu3YsSPt0gAAAHYjyAFAnQULFuiNb3zjoGPkTjvtNK1atSrt0gAAAHYjyAFAnWKxOOxZK0ulUtqlAQAA7EaQA4A6A2emrB+R44yVAABgoiHIAcAQ+Xxe+Xxe3d3d6ujoSLscAACAP8NZKwEAAAAgYwhyAAAAAJAxBDkAAAAAyBiCHAAAAABkDEEOAAAAADKGIAcAAAAAGUOQAwAAAICMIcgBAAAAQMYQ5AAAAAAgYwhyAAAAAJAxBDkAAAAAyBiCHAAAAABkDEEOAAAAADKGIAcAAAAAGUOQAwAAAICMIcgBAAAAQMa0pF0AgJGZ2d6tvyzaeu6+D9UAAABgImBEDpjg3D3yrVqtRl4XAAAA2UWQAwAAAICMIcgBAAAAQMYQ5AAAAAAgYwhyAAAAAJAxBDkAAAAAyBiCHAAAAABkDEEOAAAAADKGIAcAAAAAGUOQAwAk5sQTT1RTU5M2LDtZTU1NOvHEE9MuCQCAhkCQAwAk4sQTT9SaNWtkZpIkM9OaNWsIcwAAxKAl7QIAANk1ENJGsmvXrkFf68Pdnrj72IsDAKCBEeQAAPtspMBlZpo3b55uuukm9ff3q7m5WaeccoqefvppghoAAGNEkAMAJKa1tVVdXV2q1WrK5XJqbW3Vfffdl3ZZAABkHkEOAJCY++67T7Nnz9auXbu0YcMGbdmyJe2SAABoCJzsBACQiIHj4AbC28DXKMfVAQCAkRHkAACJGDgOrqmpadBXjo8DAGDsCHIAgMTsv//+g85auf/++6dcEQAAjYEgBwBIzKZNmwaNyG3atCnligAAaAwEOQAAAADIGIIcACBRc+fOHfQVAACMHUEOAJCY+fPna9u2bZKkbdu2af78+SlXBABAYyDIAQASs2HDBp1++um69dZbdfrpp2vDhg1plwQAQEPgguAAgEQ85znP0R/+8AddccUVuuKKKwYtBwAAY8OIHNAAKpWK2tratGjRIrW1talSqaRdEqDFixfv1XIAABAdI3JAxlUqFRWLRZXLZfX396u5uVmFQkGSlM/nU64Ok9mqVas0depU7dixY/eyqVOnatWqVVq+fHmKlQEAkH2MyAEZVyqVVC6X1dnZqZaWFnV2dqpcLqtUKqVdGia5xx57TP39/brkkkv0ne98R5dccon6+/v12GOPpV0aAACZR5ADMq5Wq6m9vX3Qsvb2dtVqtZQqAv6kUCjovPPO0/Tp03XeeeftHi0GAABjQ5ADMi6Xy6mnp2fQsp6eHuVyuZQqAv5k1apVqlar6uvrU7Va1apVq9IuCQCAhsAxckDGFYtFFQqF3cfIVatVFQoFplYidS0tLdq6devuyw7Mnz9fW7duVUsL/3oAABgr/psCGTdwQpOuri7VajXlcjmVSiVOdILUnX322br88svV29srSert7VVvb6/OOeeclCsDACD7CHJAA8jn88rn8+ru7lZHR0fa5QCStPvMlFdffbXcXU8//bTOOecczlgJAEAMOEYOAJCY5cuX69lnn1W1WtWzzz5LiAMAICYEOQAAAADIGIIcAAAAAGQMQQ4AAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxhDkAAAAACBjCHIAAAAAkDEEOQAAAADIGIIcAAAAAGQMQQ4AAAAAMoYgBwAAAAAZQ5ADAAAAgIwhyAEAAABAxhDkAAAAACBjzN3TrmE3M/u9pA1p1zGKAyQ9mXYRDYT+jBf9GS/6Mz70Zbzoz3jRn/GhL+NFf8YrK/05390PHG2lCRXkssDM1rr7wrTraBT0Z7zoz3jRn/GhL+NFf8aL/owPfRkv+jNejdafTK0EAAAAgIwhyAEAAABAxhDk9t5VaRfQYOjPeNGf8aI/40Nfxov+jBf9GR/6Ml70Z7waqj85Rg4AAAAAMoYROQAAAADImIYKcmY2w8zuMrPmvXjMl8zszUnWFZWZfc/M9k+7DiRjX/bPYdrYEmdNe7ntG8zs8LS2X68B/tYnTF/W28d+vcjMPphkXSNs+ygz+1Ia28b4iON1M21mNtXMfmBmLSlsO/b+S/Nvfqg0XksbYZ8czni/B23Ufhwq6X5tqCAn6XRJN7l7f9qF7KPrJJ0znhtM+g2xmXWY2W37XmEyzOw/zez4cd5s1vfPKySdn3YRIfoyGZnqV3d/QNILzezQ8dxukm9AzOz/mdm9ZvZA+PX4uvteES7/lZl9wcws7u1HrHE8A3Sm9snhuPsOSXdKOjWFzWe+/0aRxmtpon2aRuAPjfd70EbfNwck2q+NFuROk3SztDtA3GVmXzOzh81sqZmdZmb/E/4jPKzuca8xsx+G65080gbMrNXMfmFm15jZOjO73sxeY2Z3m9kvzexV4XqvMrN7zOxn4de/DJfPDGv6uZndaGY/NrOB61ncIikff7eMaLL8IQ21XNKScd7mXu+fZvZiM/uRmf3EzD4RZSNmtsXMloVvAr8X7ovdZvaImb0+XKc13Od/Gt6OCZc3mdnlZvagmd1mZt+uC+0/VPC3ktY/mXr7+rd+XPj3+EiUDyMmSV/W29d+HZEFn+CvNLM1ZrbezE4xs0+H7dxuZlPC9T4e7uvrzOwqsyComNkrw9fMH5nZZ8xsXV3zt0p6S4x9EEWSr5tPSnqdux8l6R0K3gQMuELSuyUdHt5em8D2RzXOAXqv9kkzaw7/Ps3M5pnZLjM7Lnz8D83sL/a0ob14XX6dBf+7fxa+LhwULj/QzL4bvg5caWYbzOyAsPlV4XMZb0n139Fm9n0L3vecOVoRDfZaGnufWvAaeZWZrZH05T1t2BrrPWgS/fhAeJ+Z2VNm9vbw/uvM7DV7KiTT/eruDXGTNFXS/9X93CHpaUnPlzRN0m8kXRze915Jnw+//5Kk2xWE2sMlPSZp+gjbaZXUJ+mo8DH3SrpWkkl6g6RV4Xr7SWoJv3+NpG+G339Q0pXh921hWwvr2v+lpOeOY7/dI6m1rs/ukvQ1SQ9LWqrgD+1/JD0g6bC6Pluh4AX0YUknj9B+h6Tbwu8PlPRdST+VdKWkDZIOGKW+9ZL+Q9KPJK2V9HJJd0j6/ySdHa4zW8GnnT8N63xD3eM/JukX4XYrkj5Yd9+9kg6e4PvnLZLeHn7/r5K2RNiWS/qH8PtvSVojaYqkoyXdFy6fObCfh/v92vD7N0v6drhvHyxpk6Q317X9XUmvGK/9M+a+/JKkr4fPbYGkX032voypXy+q/7vaQ9sXSeqp67ttQ/r1jeH3z6l7zHUKAo0krZN0TPj9Uknr6tY7VtKt49xX+/K6+c/h87hf0g8ibsckPRX2//Ml/aLuvrzC/yWj9PvKcL9dL+kUSZ8O67pd0pRwvY9L+klY31X604nQXinp5wpefz8zpN/fK+n8CbpP3i7pSEknh8+rGK7/6Cjbi9r+/nV9dIakS8LvL5P04fD71yp4/Tgg/LlZ0u/HeT9NpP/C/ep+STMkHSBpo6QXjFJLQ7yWJtyn90qaMcr2W9UA70ET7McVkk4Kn9tPJF1d97xmN2K/NtKI3AEKdoJ6P3H3x919u4I3/mvC5Q8o+KUN+Jq773L3X0p6RNJLR9nWo+7+gLvvkvSgpDs9+E3VtztX0tct+OT4cwp2PElql3SDJLn7OgX/JOs9IekFo2w/FmY2VdJL3H193eKjFfzRHCXpbZKOcPdXSbpGUlfdeq2S/l7BH8wKM5seYZMXSvq+u79cwQt51E9zN7r7qxUExy8peFH/W0n/Ht7/rKQ3he12Srok/DRmoaR/kvQyBW9gFg5p96cK3gSOh33dP49VEEClwZ/Mj2SHghe7gbbucvedQ9qdIulqM3tAQbhZEC5vl/T18O/h/yRVh7Q9bvvnCMbyt74qfG4PSToowrYavS/rjaVfo/hOXd81a3C/DrTVGX6S+YCk4yUdaWbzJM1x93vCdb46pN1x7ccxvG5+XNKJ7n60pNdH3Nw/SfpZ2P+HKPigccBj4bLRHKbgdfoNkr4iqerBaF9vuFySLnP3V7p7m4I35wMzU76o4AOzV0saOvq4VtLfRXwe+2pf98kfSjouvH1Kwd/iKxW8sRtNlPZfKOmOcD/9kIb//367gsCh8Od+STvMbE6EGuKSZP/d7O697v6kgte2V41SS6O8libZp7e4e2+EGhrhPWhS/Vh//xWSjvr/2zvfEKmqKID/TporoSiIGqwSJGtRGVH2FwKlMIQsJEz6kJoiRUkhBCVIbBhJBYUkfugPGVHf6kMkgSUsrksuQllJJWQlhksZlWyhYXj6cM5z3m67O2/m7byZeXt+MOy8+2bePe/Mffeec++5Z0WkE/hdVavlGGhLvZbJkTsDDHcm/km9P586Pg+kl+GH/w+Gav+TIct1t2ED5jXAipRs1fY0TMXupQiKdH5hjEGuCh+mZOhX1UFVPQWcdSNPgOdF5CvgU8y4mev1JYPNIBaClabIzn8822c1znnnM+S63jkl190M/IIZoIux2TForfY5Gnl0mf5clv1FZddlmjx6zUJad8P1Otkng3ZhM+2LgNddnlbTY739Zh+wWywMrereOhG5GngBeDgpGuFjWfqGdnag622TvZiTeRO2kjMTm/Hfn6HOLNd/FXN+F2G/T9bxvQObeCyKRuqvVrupLH1pI3X6d0YZymCDNkqP+/387UAPcAqb/O/NIFNb6rU0jpyq/gFMyrgyNJxVYjHYC4DLgaMi0iki+3KINANbGgZYlyo/ANwPICJXYTO4+LFgYQM/5ai3Fop0fiGb4TwSaRmGyzcZC2OajYVWXIcNBC1lAOZon31U9v8M2V8hIt/lEGkGMOCD6INUDMsDwH3+PMzFOsg0C7GZqqaR81kfkYmqyzTjoVcR2SQim+r8elLvbyIyDRt8E7kGReQWPz98P9xCLCSwKOrqN1X1EWArMB84LCKzRqtAROZhUQtrVPWYF/+MrQQlzANOZpC3bR3oHG2yH7gNOK+qZ4HDmMPVCxf2uYy6DykD6fF9bao8Pb4vw0Iw8eNZWGjluRz11kSj9OfcKyJT/b6W4CsiZe9LG6zTC5TdBm2UHlX1BDbZ1qWqP2D3+ySVZ790ei2NI+fsxVZhauUotsfhYyyM5CwWp/tvDlleBLaLSB9DZ193AbN99egpbPn1tJ+7ATioqnnqzcx4O78ZvjPWILfPl7/rYQbwq6qeE5GlwGWp+lb4YDONShhRQtEGYD3t8wngMRE5hN0nAGIb6PNkrNsFrBWRg5gekpnA9zGD8Qi2j7Efb58+gJ5R1YEc9Y4X9T7r/yN0OYS8er0S29NVM6r6J+ZEfI0lhkiHHG0AXhORz7Df6nTq3FJgT13S1idnXf2miCxQ1X5VfQZLaDJ/lM/NxO5ni6r2peodwB1aNwzWUEkUUGYHuuY26SujJ4CDXtQLTMfaFlhYfx4ntBsLr+rFfsuEZ4FlIvI5sBwYAAb93FJsBaFoGqE/sD2ge/wz21T15ATqSxul0zSlt0FpnB77sf3KyflOzB6EMupVC9gcWtQL2wv1zjhdaxNwTwNknERlM+8CzEOf4sc7gDsK1tmbwJ3+fgmemMSPe/DNmgxNWrIbiw2uNdnJHCpJSV7BZpM7sAmF44ywydf1k2wWX4eFsww5568kGcobwLdUEhF0Y07mXuBdYKOXX+yfm9ym7fNu4PEGyTnN/87CwsQu9ePNwIYi22fosr30CnyU9GeN0KO/fxrY4e87sAG9sOfY662n3/wAMzaOYH29jHLtrZgBezj1muPnFvv3j2GJNZKEGzuBB0a4VjdDEzz9NdI54Dngeyw0/S2g28tvppLsZDvQl/r+TjwZTSu3yVGu+RJwbQNk7aCSCOFWPIlH6ve/osh22ij9jVHXhOhLi9ApE8AGLbJtllmvhSmvwB9pPTCp2XKMId90zOH40gfI5alzG5sgT5Gd/IiDHJbh5+UG1Zl0/pe43q/345XYLGLR+m7p9uky9mDG4zfAulT5QxRsMIcuQ68u02rX4xFsFWC2l3cBS5ogT+EGSBV5Su1At2KbHEXOLuALH98PATd6+RQ8+3CT5GoL/VW5h5bqS9tVpy1og7alHltJr8lsXjCBEZH1wNva4P8lJyJdWIrui7AMVo+qapYsYnnqfA/LfDUVu8ftXr4K+EQtnCsIgqAmiuo3m4mIrAa2YPv8jmMG9CnvyztVtaeZ8gVBEEx0wktYDjkAAABySURBVJELxgURuQvLsJbmR1Vd2Qx5giAIWpnoM4MgCIK8hCMXBEEQBEEQBEHQZpQta2UQBEEQBEEQBEHpCUcuCIIgCIIgCIKgzQhHLgiCIAiCIAiCoM0IRy4IgiAIgiAIgqDNCEcuCIIgCIIgCIKgzfgP4ILKDB7egGoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes[['mag', 'magType']].groupby('magType').boxplot(\n",
    "    figsize=(15, 8), subplots=False\n",
    ")\n",
    "plt.title('Earthquake Magnitude Boxplots by magType')\n",
    "plt.ylabel('magnitude') # label the y-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Counts and frequencies\n",
    "### Bar charts\n",
    "With pandas, we have the option of using the `kind` argument or using `plot.<kind>()`. Let's use `plot.bar()` here to show the evolution of monthly volume traded in Facebook stock over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'volume')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb['2018-02':'2018-08'].assign(\n",
    "    month=lambda x: x.index.month\n",
    ").groupby('month').sum().volume.plot.bar(\n",
    "    color='green', rot=0, title='Volume Traded'\n",
    ")\n",
    "plt.ylabel('volume') # label the y-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also change the orientation of the bars. Passing `kind='barh'` gives us horizontal bars instead of vertical ones. Let's use this to look at the top 15 places for earthquakes in our data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'earthquakes')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes.parsed_place.value_counts().iloc[14::-1,].plot(\n",
    "    kind='barh', figsize=(10, 5),\n",
    "    title='Top 15 Places for Earthquakes '\\\n",
    "        '(September 18, 2018 - October 13, 2018)'\n",
    ")\n",
    "plt.xlabel('earthquakes') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also have data on whether earthquakes were accompanied by tsunamis. Let's see what the top places for tsunamis are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'tsunamis')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes.groupby('parsed_place').tsunami.sum().sort_values().iloc[-10::,].plot(\n",
    "    kind='barh', figsize=(10, 5), \n",
    "    title='Top 10 Places for Tsunamis '\\\n",
    "        '(September 18, 2018 - October 13, 2018)'\n",
    ")\n",
    "plt.xlabel('tsunamis') # label the x-axis (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seeing that Indonesia is the top place for tsunamis during the time period we are looking at, we may want to look how many earthquakes and tsunamis Indonesia gets on a daily basis. We could show this as a line plot or with bars; since this section is about bars, we will use bars here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'count')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "indonesia_quakes = quakes.query('parsed_place == \"Indonesia\"').assign(\n",
    "    time=lambda x: pd.to_datetime(x.time, unit='ms'),\n",
    "    earthquake=1\n",
    ").set_index('time').resample('1D').sum()\n",
    "\n",
    "indonesia_quakes.index = indonesia_quakes.index.strftime('%b\\n%d')\n",
    "\n",
    "indonesia_quakes.plot(\n",
    "    y=['earthquake', 'tsunami'], kind='bar', figsize=(15, 3), rot=0,\n",
    "    label=['earthquakes', 'tsunamis'], \n",
    "    title='Earthquakes and Tsunamis in Indonesia '\\\n",
    "        '(September 18, 2018 - October 13, 2018)'\n",
    ")\n",
    "\n",
    "# label the axes (discussed in chapter 6)\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `kind` arugment for vertical bars when the labels for each bar are shorter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'earthquakes')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes.magType.value_counts().plot(\n",
    "    kind='bar', title='Earthquakes Recorded per magType', rot=0\n",
    ")\n",
    "\n",
    "# label the axes (discussed in chapter 6)\n",
    "plt.xlabel('magType')\n",
    "plt.ylabel('earthquakes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 4 places with earthquakes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'earthquakes')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes[\n",
    "    quakes.parsed_place.isin(['California', 'Alaska', 'Nevada', 'Hawaii'])\n",
    "].groupby(['parsed_place', 'magType']).mag.count().unstack().plot.bar(\n",
    "    title='magTypes used in top 4 places with earthquakes'\n",
    ")\n",
    "plt.ylabel('earthquakes') # label the axes (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacked bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'earthquakes')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot = quakes.assign(\n",
    "    mag_bin=lambda x: np.floor(x.mag)\n",
    ").pivot_table(\n",
    "    index='mag_bin', columns='magType', values='mag', aggfunc='count'\n",
    ")\n",
    "pivot.plot.bar(\n",
    "    stacked=True, rot=0, \n",
    "    title='Earthquakes by integer magnitude and magType'\n",
    ")\n",
    "plt.ylabel('earthquakes') # label the axes (discussed in chapter 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Normalized stacked bars\n",
    "Plot the percentages to be better able to see the different `magTypes`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'percentage')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VCi606qtgv7VE0n/HzfslBT39dQrO5/xXpV5H+48bFXzX1ypoy291cJ/zMwpOfXjB3ePvFvCcgqMhrXd7+UzMqQ9fVPBPbutvxiP64D9uQMrYB09JAbKHmf1Q0hB3/3JXx9LVzGydggt9nuiobDaw4Dzay9391K6ORZLC3u5GSV9w95qujqcjZvaCpDvc/Z6ujgWpY2b/LOkCd2/viFj8PM9Iutvd740ZN1vSF919SqcHCXxE9Kgia1hwn9Qx4SHECgU9SL/v6rjQucLTAa6QdGcXx/EpC+4f2UfBaRCmD/fyZwQzO83MhoSHbb+s4GKZ+B5CZDkzG2rBY2YjFpw/PkcHsQ80swkKTvV5pKOyQKYgUUU2yVdwWHGXgnO1bpb0hy6NCJ0qPH9wi4LTEh7o4nAmKrjbxVYFp7ic5+57ujakNpUqODy/XUHy8tnwPEt0LzkKbrvXJOkpBfu/nyczo5nNU/DPyzWehqfuAZ2FQ/8AAADISPSoAgAAICORqAIAACAjZd2TqY488kgfPnx4V4cBAADQoaVLl25198FdHUe2yrpEdfjw4aqtre3qMAAAADpkZus7LoW2cOgfAAAAGYlEFQAAABmJRBUAAAAZiUQVAAAAGYlEFQAAABmJRBUAAAAZiUQVAAAAGSlliaqZ3W1mm83s1Tamm5ndZmarzWy5mZWnKhYAAABkn1T2qN4r6Yx2pp8pqTh8XS7pFymMBQAAAFkmZYmquz8j6Z12ipwr6dceWCJpgJkNTVU8AAAAyC5deY5qgaSGmOHGcBwAAACgXl1YtyUY5wkLml2u4PQAHXvssYdU2dyvPnVI8x2qK++oTGt9tK9zpbN93bltUvdv35NPfTyt9Z1euSat9Q2p+Vta69s4dWxa6+vO7evObZO6f/sQ6MpEtVHSMTHDwyS9laigu98p6U5JGj9+fMJkFgDQ+eb5Z9JcY3oTcQCZrSsT1QWSrjKzByWdJGm7u2/owngA4KCV/uXe9FaY3g5jAOhSKUtUzew3kqZIOtLMGiV9R1JvSXL3OyQ9KuksSasl7ZZ0capiAQAAQPZJWaLq7hd2MN0lXZmq+gEAAJDduvLQPwBkvT+8uz+t9fHfPYCehEeoAgAAICPRowoAaFPdw79Ma32nc7EYgBj0qAIAACAjkagCAAAgI3HoHwDQpjsmXpPW+q7UK2mtD0BmI1EFALSpaeUPujoEAD0Yh/4BAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkXp1dQAAAAA9ydKlS4/q1avXXZJGi07DFkmvHjhwYPa4ceM2x08kUQUAAEijXr163TVkyJDjBw8evC0SiXhXx9OVWlpabMuWLWUbN268S9LM+OkpzeLN7Awzqzez1Wb2jQTTjzWzGjNbZmbLzeysVMYDAACQAUYPHjx4R09PUiUpEon44MGDtyvoXf7w9FRVbGZRSXMlnSmpTNKFZlYWV+zbkh529xMlXSDp56mKBwAAIENESFL/IVwXCXPSVPaoVkha7e5vuPs+SQ9KOjeujEs6PHzfX9JbKYwHAAAAWSSV56gWSGqIGW6UdFJcmRsk/cXM/kXSYZKmpTAeAACAjDP8G38e15nLW/eDs5d2xnKuvfbao/Py8ppvvPHGTZ2xvEORyh5VSzAuvpv7Qkn3uvswSWdJus/MPhSTmV1uZrVmVrtly5YUhAoAAIBMk8pEtVHSMTHDw/ThQ/uXSnpYktz9eUm5ko6MX5C73+nu4919/ODBg1MULgAAQM9QX1+fU1RUNGrWrFmFxcXFo2bOnFlUXV2dX15ePrKwsHB0TU1NP0lavnx5vwkTJpQUFhaOvvnmmz+Uo6VaKhPVlyQVm1mRmeUouFhqQVyZv0s6XZLM7HgFiSpdpgAAACnW0NCQO2fOnM11dXUr1qxZkztv3rxBtbW1dVVVVY1VVVVDJWnlypV9n3jiiVVLliyp+/GPf3z0unXreqczxpQlqu5+QNJVkh6XtFLB1f0rzOxGM2u9T9YcSZeZ2f9I+o2kr7g7V8EBAACkWEFBwd6Kioo90WhUJSUleyorK3dEIhGVl5fvbmxs7CNJZ5555rt5eXk+dOjQAxMnTtzx7LPPHpbOGFN6w393f1TSo3Hjro95/5qkU1IZAwAAAD4sJyfn/c7BSCSi3Nxcl6RoNKrm5maTJLMPXnIUP5xqPf2xXQAAAGjDY489NmD37t22cePG6JIlS/JPPfXUXemsn0eoAgAAdKHOup1UKpx44om7Tj/99OK33nor57rrrtswfPjw/emsn0QVAACghyktLd23atWqFa3D8+fPX9fWtK7EoX8AAABkJBJVAAAAZCQSVQAAAGQkElUAAABkJBJVAAAAZCQSVQAAAGQkbk8FAADQlW7oP65zl7e9U+7Leu211x6dl5fXfOONN27qqGx9fX3OOeecU9zZt7WiRxUAAAAZiUQVAACgh6mvr88pKioaNWvWrMLi4uJRM2fOLKqurs4vLy8fWVhYOLqmpqafJC1fvrzfhAkTSgoLC0fffPPNRyaz7KampshZZ511XElJSdnZZ5993JgxY0Y+88wz/Q4lTg79AwAA9EANDQ25Dz300Bvjxo1bP2bMmOPnzZs3qLa2tu6BBx4YUFVVNXTMmDF7Vq5c2Xfp0qUrm5qaoieeeGLZZz7zme0dPUb1xz/+8eABAwY0v/7666+99NJLuRMnThx1qDHSowoAANADFRQU7K2oqNgTjUZVUlKyp7KyckckElF5efnuxsbGPpJ05plnvpuXl+dDhw49MHHixB3PPvvsYR0t97nnnsu78MIL35GkT37yk++VlJTsPtQYSVQBAAB6oJycHG99H4lElJub65IUjUbV3NxskmRmH5gnfjgRd++wTLJIVAEAAJDQY489NmD37t22cePG6JIlS/JPPfXUXR3Nc/LJJ+988MEHB0rS0qVLc19//fW+h1o/56gCAAB0pU66nVQqnHjiibtOP/304rfeeivnuuuu29DR+amS9LWvfW3L+eefP7ykpKRs9OjRu0tLS/cMHDiw+VDqJ1EFAADoYUpLS/fF3vN0/vz569qadrDL69evX8vvfve7tf369fMVK1b0mTFjRklxcfG+Q4mTRBUAAACdpqmpKTJp0qTS/fv3m7vrlltuWd96/uvBIlEFAABAUl588cW+F110UVHsuJycnJbly5fXtQ4PHDiw5dVXX13ZGfWRqAIAACApFRUVe+rq6l5LV31c9Q8AAICMRKIKAACAjESiCgAAgIxEogoAAIAOFRQUnLBhw4a0Xt/ExVQAAABd6IRfnTCuM5f3ypdfydgHCBwselQBAAB6mPr6+pyioqJRs2bNKiwuLh41c+bMourq6vzy8vKRhYWFo2tqavpt3LgxesoppxQff/zxZZ///OcL3Q/pVqgfCYkqAABAD9TQ0JA7Z86czXV1dSvWrFmTO2/evEG1tbV1VVVVjVVVVUO/8Y1vHD1x4sSdK1eufG3mzJnvbtiwISfdMZKoAgAA9EAFBQV7Kyoq9kSjUZWUlOyprKzcEYlEVF5evruxsbHPkiVL8i+55JK3JemCCy7YfvjhhzenO0YSVQAAgB4oJyfn/WP5kUhErY85jUajam5uttbxXYlEFQAAAB8yYcKEprvvvnuQJD388MOH79ixI5ruGEhUAQAA8CE/+MEP3lq8eHFeWVnZ8Y8//nj/oUOH7kt3DNyeCgAAoAt1xe2kSktL961atWpF6/D8+fPXJZq2ePHiVTGzNaQvwgA9qgAAAMhIJKoAAADISCSqAAAAyEgkqgAAAMhIJKoAAADISCSqAAAAyEgkqgAAAPiQa6+99ujrr7/+Y10ZQ9L3UTWzUyUVu/s9ZjZYUp67r01daAAAAN3fypHHj+vM5R1ftzLt92VNlaR6VM3sO5K+Lumb4ajeku5PVVAAAABInfr6+pyioqJRs2bNKiwuLh41c+bMourq6vzy8vKRhYWFo2tqavpJ0sqVK/tWVFSUDhs27ISbbrrpqHTHmeyh//8laaakXZLk7m9Jyk9VUAAAAEithoaG3Dlz5myuq6tbsWbNmtx58+YNqq2trauqqmqsqqoaKkmrV6/OXbhw4esvvfTSyp/85CdH792719IZY7KJ6j53d0kuSWZ2WDIzmdkZZlZvZqvN7BttlDnfzF4zsxVm9kCS8QAAAOAjKCgo2FtRUbEnGo2qpKRkT2Vl5Y5IJKLy8vLdjY2NfSRpxowZ7/bt29eHDh164Igjjtjf2NiY9GmjnSHZyh42s/+UNMDMLpN0iaRftjeDmUUlzZU0XVKjpJfMbIG7vxZTpljB6QSnuPs2M0t7lzIAAEBPlJOT463vI5GIcnNzXZKi0aiam5tNkvr06fN+mWg0qgMHDqS1RzWpRNXdf2Jm0yXtkFQq6Xp3/2sHs1VIWu3ub0iSmT0o6VxJr8WUuUzSXHffFtaz+SDjBwDgkH11YXV6K5w6Nr31AVku6e7bMDHtKDmNVSCpIWa4UdJJcWVKJMnMFkuKSrrB3f/7IOoAAABAN5VUompmTQrPT42xXVKtpDmtvabxsyUYF7+MXpKKJU2RNEzSs2Y22t3fjav/ckmXS9Kxxx6bTMgAAABZoStuJ1VaWrpv1apVK1qH58+fv66taa0SjUu1ZHtUfyrpLUkPKEhAL5A0RFK9pLsVJJrxGiUdEzM8LFxGfJkl7r5f0lozq1eQuL4UW8jd75R0pySNHz8+PtkFAABAN5RsonqGu8cetr/TzJa4+41m9q025nlJUrGZFUl6U0Fy+/m4MtWSLpR0r5kdqeBUgES9swAAdLr8lbVdHQKAdiR7e6qW8DZSkfB1fsy0hD2c7n5A0lWSHpe0UtLD7r7CzG40s5lhscclvW1mr0mqkfQ1d3/70JoCAACA7iTZHtUvSLpV0s8VJKZLJH3RzPoqSEYTcvdHJT0aN+76mPcu6drwBQBAWuUO5OcHyGTJ3p7qDUmfbmPyos4LBwAAAAgke9V/rqRLJY2SlNs63t0vSVFcAAAA6OGSPUf1PgVX+X9K0kIFV/A3pSooAAAAdK3bbrtt0EUXXdSl9wVN9hzVEe7+OTM7191/ZWYPKLgQCgCArPXjAXvSWt+Vaa0N2WLuV58a15nLu/KOyrTflzVVku1R3R/+fdfMRkvqL2l4SiICAABAStXX1+cUFRWNmjVrVmFxcfGomTNnFlVXV+eXl5ePLCwsHF1TU9Ovq2OUkk9U7zSzgZK+LWmBpNck/TBlUQEAACClGhoacufMmbO5rq5uxZo1a3LnzZs3qLa2tq6qqqqxqqpqaFfHJyWfqD7p7tvc/Rl3P87dj5L0l1QGBgAAgNQpKCjYW1FRsScajaqkpGRPZWXljkgkovLy8t2NjY19ujo+KflEdX6Ccb/tzEAAAACQPjk5Oe8/tCkSiSg3N9clKRqNqrm52bousn9o92IqMxup4JZU/c3sn2ImHa6Y21QBAAAAna2jq/5LJZ0jaYA+eMP/JkmXpSooAAAAoN1E1d3/IOkPZjbR3Z9PU0wAAAA9RlfcTqq0tHTfqlWrVrQOz58/f10b095Od2yxkr2P6moz+5aCW1K9Pw9PpgIAAECqJJuo/kHSs5KekNScunAAAACAQLKJaj93/3pKIwEAAABiJHt7qj+Z2VkpjQQAAACIkWyieo2CZPU9M9thZk1mtiOVgQEAAKBnS+rQv7vnpzoQAAAAIFZSPaoW+KKZ/d9w+Bgzq0htaAAAAOjJkr2Y6ueSWiRVSvqupJ2S5kr6ZIriAgAA6BFunnXOuM5c3pyH/pTW+7I+99xzfa+44orCnTt3RiORiH/ta1/bcNlll22TpLq6upzzzz//uO3bt/caPXr07vlDuulKAAAa8ElEQVTz569tfVRrMpI9R/Ukd79S0nuS5O7bJOUcdEsAAADQreTl5bXcd999a1evXr3iL3/5y6pvfetbx2zdujUqSddee+2wq666atP69etf7d+//4Fbb731yINZdrKJ6n4zi0pySTKzwQp6WAEAAJBl6uvrc4qKikbNmjWrsLi4eNTMmTOLqqur88vLy0cWFhaOrqmp6ffnP/85b+TIkWUjR44sO/7448u2bduWMG8cM2bM3hNOOGGvJA0fPnz/EUcccWDDhg29Wlpa9Pzzz+dffPHF2yTpkksuefuPf/zjgIOJM9lD/7dJ+r2ko8ysStJnJX37YCoCAABA5mhoaMh96KGH3hg3btz6MWPGHD9v3rxBtbW1dQ888MCAqqqqoS0tLXbbbbetnzFjxq7t27dH+vXr12EnZU1NTb/9+/dbWVnZ3k2bNvXKz89v7t27tyRp+PDh+zZt2nRQR+ST6lF193mS/k3S9yVtkHSeuz9yMBUBAAAgcxQUFOytqKjYE41GVVJSsqeysnJHJBJReXn57sbGxj4TJkzYed111x1z0003HbV169Zoa8LZlvXr1/e++OKLj/vlL3+5LhqNyv3Dp6KaWdLnp0rJX/U/QdKb7j7X3W+X1GhmJx1MRQAAAMgcOTk57yeNkUhErRc5RaNRNTc32/e+972Nd9111/o9e/ZETj755OOXLVuW29ay3nnnnciZZ5454vrrr3/z9NNP3yVJQ4YMOdDU1BTdv3+/JGndunU5Rx111P6DiTHZc1R/oeBK/1a7wnEAAADohlasWNGnoqJiT1VV1cYTTjhh16uvvpowUX3vvffs7LPPHnHBBRe8fckll2xrHR+JRDRhwoSme+65Z6Ak3X333YPOOeecdw8mhmTPUTWP6b919xYzS3ZeAAAAtCHdt5NK1o9+9KOjnnvuucMjkYiXlJTs+exnP7s9Ubm777574EsvvZS3bdu2Xg888MCR4bi1J5988p6bb765cdasWR+/6aabCkaNGrX7mmuu2XowMSSbbL5hZlfrH72oV0h642AqAgAAQGYoLS3dt2rVqhWtw/Pnz1/X1rSOXHHFFe9cccUV7ySaVlZWtu+VV15ZeahxJnvo/6uSTpb0pqRGSSdJuvxQKwUAAAA60mGPanj/1C+4+wVpiAcAAAAZ6MUXX+x70UUXFcWOy8nJaVm+fHldqursMFF192YzO1fSLakKAgAAAJmtoqJiT11d3WvprDPZc1QXm9ntkh5ScMW/JMndX05JVAAAAOjxkk1UTw7/3hgzziVVdm44AAAAQCCpRNXdp6Y6EAAAACBWsk+m+piZ/ZeZPRYOl5nZpakNDQAAAD1Zsof+75V0j6R/D4dfV3C+6n+lICYAAIAeo/Ebz47rzOUN+8GkjHyAwKFI9j6qR7r7w5JaJMndD0hqTllUAAAASJn6+vqcoqKiUbNmzSosLi4eNXPmzKLq6ur88vLykYWFhaNramr6lZSUlG3dujXa0tKiAQMGjL399tsHSdJ5551XVF1dnZ+OOJNNVHeZ2SAFF1DJzCZISvgYLQAAAGS+hoaG3Dlz5myuq6tbsWbNmtx58+YNqq2trauqqmqsqqoaOn78+J1PPPFE3tKlS3OHDRu2d9GiRXmStGzZssOmTp26q6Pld4ZkE9VrJS2QdJyZLZb0a0n/krKoAAAAkFIFBQV7Kyoq9kSjUZWUlOyprKzcEYlEVF5evruxsbHPpEmTdi5cuDDvySefzJ89e/bmlStX9l27dm3v/v37H+jfv39LOmJMNlF9TdLvJb0kaZOkXyo4TxUAAABZKCcnx1vfRyIR5ebmuiRFo1E1Nzfb9OnTm5YsWZK/ePHivBkzZjQNGjTowP333z9wwoQJO9MVY7KJ6q8ljZT0PUn/T1KxpPtSFRQAAAC61ogRI/Zv27at19q1a3PLysr2TZw4cefcuXOHTJ48OeMS1VJ3n+3uNeHrckklqQwMAAAAXWvs2LG7ioqK3pOkKVOmNG3evLn3tGnTmtJVf7K3p1pmZhPcfYkkmdlJkhanLiwAAICeoStuJ1VaWrpv1apVK1qH58+fvy7RtOrq6rWt46dPn76rpaUlrbEm26N6kqTnzGydma2T9Lyk08zsFTNb3tZMZnaGmdWb2Woz+0Y75T5rZm5m4w8qegAAAHRbyfaonnGwCzazqKS5kqZLapT0kpktcPfX4srlS7pa0gsHWwcAAAC6r6QSVXdffwjLrpC02t3fkCQze1DSuQruIBDru5J+JOm6Q6gDAAAA3VSyh/4PRYGkhpjhxnDc+8zsREnHuPufUhgHAAAAslAqE1VLMO79+3WZWUTSLZLmdLggs8vNrNbMards2dKJIQIAACBTpTJRbZR0TMzwMElvxQznSxot6enwAq0JkhYkuqDK3e909/HuPn7w4MEpDBkAAACZIpWJ6kuSis2syMxyJF2g4DGskiR33+7uR7r7cHcfLmmJpJnuXpvCmAAAANAJbrvttkEXXXTRsamsI9mr/g+aux8ws6skPS4pKulud19hZjdKqnX3Be0vAQAAoPu74YYbxnXy8tJ+X9ZUSWWPqtz9UXcvcfePu3tVOO76REmqu0+hNxUAACD16uvrc4qKikbNmjWrsLi4eNTMmTOLqqur88vLy0cWFhaOrqmp6VdSUlK2devWaEtLiwYMGDD29ttvHyRJ5513XlF1dXW+JL355pu9J02aVDx8+PDRc+bMGdrZcaY0UQUAAEBmamhoyJ0zZ87murq6FWvWrMmdN2/eoNra2rqqqqrGqqqqoePHj9/5xBNP5C1dujR32LBhexctWpQnScuWLTts6tSpuyRp+fLlhz3yyCNvvPrqqysWLFhwxDPPPNOvM2MkUQUAAOiBCgoK9lZUVOyJRqMqKSnZU1lZuSMSiai8vHx3Y2Njn0mTJu1cuHBh3pNPPpk/e/bszStXruy7du3a3v379z/Qv3//Fkk69dRTdwwZMqQ5Ly/Pzz777G1PP/10XmfGSKIKAADQA+Xk5Lx/29BIJKLc3FyXpGg0qubmZps+fXrTkiVL8hcvXpw3Y8aMpkGDBh24//77B06YMGFn63xmH7wbafzwR0WiCgAAgA8ZMWLE/m3btvVau3ZtbllZ2b6JEyfunDt37pDJkye/n6guWrTo8E2bNkV37txpjz766IDTTjttZ3vLPFgkqgAAAEho7Nixu4qKit6TpClTpjRt3ry597Rp05pap48fP37nrFmzikaPHj3q05/+9LbJkyfv7sz6U3Z7KgAAAHSsK24nVVpaum/VqlUrWofnz5+/LtG06urqta3jp0+fvqulpeX9WK+++uq3r7766rdTGSeJKgB8BHdMvCat9V2pV9JaHwB0JQ79AwAAICORqAIAACAjkagCAAAgI5GoAgAAICORqAIAACAjkagCAAAgI3F7KgAAgC705FMfH9eZyzu9ck3a78u6f/9+9e7du9OXS48qAABAD1NfX59TVFQ0atasWYXFxcWjZs6cWVRdXZ1fXl4+srCwcHRNTU2/kpKSsq1bt0ZbWlo0YMCAsbfffvsgSTrvvPOKqqur82+77bZBZ5555nGVlZUjJk2aVJKKOElUAQAAeqCGhobcOXPmbK6rq1uxZs2a3Hnz5g2qra2tq6qqaqyqqho6fvz4nU888UTe0qVLc4cNG7Z30aJFeZK0bNmyw6ZOnbpLkl5++eW83/zmN2uXLFnyeipiJFEFAADogQoKCvZWVFTsiUajKikp2VNZWbkjEomovLx8d2NjY59JkybtXLhwYd6TTz6ZP3v27M0rV67su3bt2t79+/c/0L9//xZJmjRp0o6PfexjzamKkUQVAACgB8rJyfHW95FIRLm5uS5J0WhUzc3NNn369KYlS5bkL168OG/GjBlNgwYNOnD//fcPnDBhws7W+fr169eSyhhJVAEAAPAhI0aM2L9t27Zea9euzS0rK9s3ceLEnXPnzh0yefLknR3P3TlIVAEAAJDQ2LFjdxUVFb0nSVOmTGnavHlz72nTpjWlq35uTwUAANCFuuJ2UqWlpftWrVq1onV4/vz56xJNq66uXts6fvr06btaWlrej/Xqq69+W9LbqYyTHlUAAABkJBJVAAAAZCQSVQAAAGQkElUAAABkJBJVAAAAZCQSVQAAAGQkElUAAABkJO6jCgAA0IWG1PxtXGcub+PUsWm/L2uq0KMKAADQw9TX1+cUFRWNmjVrVmFxcfGomTNnFlVXV+eXl5ePLCwsHF1TU9OvpKSkbOvWrdGWlhYNGDBg7O233z5Iks4777yi6urq/NNOO23ECy+80FeSjj/++LLrrrtuqCRdc801R//0pz89sjPiJFEFAADogRoaGnLnzJmzua6ubsWaNWty582bN6i2trauqqqqsaqqauj48eN3PvHEE3lLly7NHTZs2N5FixblSdKyZcsOmzp16q5TTjll51NPPZX3zjvvRKLRqC9ZsiRPkpYsWZJ3+umnd8pjVjn0j6xQ+fSVaa5xZZrrAwAgvQoKCvZWVFTskaSSkpI9lZWVOyKRiMrLy3ffdNNNR3/mM5/ZtnDhwrx169blzJ49e/M999wzeO3atb379+9/oH///i1TpkxpuvXWWz923HHH7ZsxY8b2p59++vCmpqZIY2Njn0984hN7OyNGElVkhfO/md5N9ZW01gYAQPrl5OR46/tIJKLc3FyXpGg0qubmZps+fXrTnXfeeVRjY+PeH/7wh28uWLBg4P333z9wwoQJOyVp8uTJuy+99NJ+zzzzzN5PfepTO7Zu3drrZz/72ZEnnHDCrs6KkUP/AAAA+JARI0bs37ZtW6+1a9fmlpWV7Zs4ceLOuXPnDpk8efJOScrNzfWhQ4fuX7BgwcCpU6fumjRpUtPcuXOHnHLKKTs7KwYSVQAAACQ0duzYXUVFRe9J0pQpU5o2b97ce9q0ae+ffzpx4sSmI4888kB+fn7L9OnTd27atKn31KlTOy1R5dA/AABAF+qK20mVlpbuW7Vq1YrW4fnz569LNK26unpt6/jp06fvamlp+UCst95661uS3pKk4cOH73f3Tm0LPaoAAADISCSqAAAAyEgkqgAAAMhIJKoAAADp1dLS0mJdHUSmCNdFS6JpXEwFIKXumHhNWuu7krvgAsh8r27ZsqVs8ODB2yORiHdcvPtqaWmxLVu29Jf0aqLpJKoAAABpdODAgdkbN268a+PGjaPF0e0WSa8eOHBgdqKJJKoAAABpNG7cuM2SZnZ1HNkgpVm8mZ1hZvVmttrMvpFg+rVm9pqZLTezJ82sMJXxAAAAIHukLFE1s6ikuZLOlFQm6UIzK4srtkzSeHcfI+m3kn6UqngAAACQXVLZo1ohabW7v+Hu+yQ9KOnc2ALuXuPuu8PBJZKGpTAeAAAAZJFUJqoFkhpihhvDcW25VNJjKYwHAAAAWSSVF1Mluj9YwlswmNkXJY2XdFob0y+XdLkkHXvssZ0VHwAAADJYKntUGyUdEzM8TNJb8YXMbJqkf5c00933JlqQu9/p7uPdffzgwYNTEiwAAAAySyoT1ZckFZtZkZnlSLpA0oLYAmZ2oqT/VJCkbk5hLAAAAMgyKUtU3f2ApKskPS5ppaSH3X2Fmd1oZq33DvuxpDxJj5jZ38xsQRuLAwAAQA+T0hv+u/ujkh6NG3d9zPtpqawfyAaVT1+Z5hpXprk+AAAODU+mArrY+d9M79fwlbTWBgDAoevpz5cFAABAhiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEbq1dUBAACAzpf7+JvprXDq2PTWhx6BHlUAAABkJBJVAAAAZCQSVQAAAGQkElUAAABkJBJVAAAAZCQSVQAAAGSkHnN7qjsmXpPW+q7UK2mtDwAAoLuhRxUAAAAZqcf0qHZ3lU9fmeYaV6a5PgAA0NOQqHYT538zvR8lJzYAAIBU49A/AAAAMhKJKgAAADISh/4B4CN4Ze3fuzoEAOi26FEFAABARiJRBQAAQEYiUQUAAEBGIlEFAABARiJRBQAAQEbiqn8A+AiGv/dAWutbl9baAKBr0aMKAACAjESPKoCU4j6jAIBDldIeVTM7w8zqzWy1mX0jwfQ+ZvZQOP0FMxueyngAAACQPVKWqJpZVNJcSWdKKpN0oZmVxRW7VNI2dx8h6RZJP0xVPAAAAMguqexRrZC02t3fcPd9kh6UdG5cmXMl/Sp8/1tJp5uZpTAmAAAAZIlUJqoFkhpihhvDcQnLuPsBSdslDUphTAAAAMgS5u6pWbDZ5yR9yt1nh8NfklTh7v8SU2ZFWKYxHF4Tlnk7blmXS7o8HCyVVJ+SoBM7UtLWNNaXbrQve3Xntkm0L9vRvuzVndsmpb99he4+OI31dSupvOq/UdIxMcPDJL3VRplGM+slqb+kd+IX5O53SrozRXG2y8xq3X18V9SdDrQve3Xntkm0L9vRvuzVndsmdf/2dTepPPT/kqRiMysysxxJF0haEFdmgaQvh+8/K+kpT1UXLwAAALJKynpU3f2AmV0l6XFJUUl3u/sKM7tRUq27L5D0X5LuM7PVCnpSL0hVPAAAAMguKb3hv7s/KunRuHHXx7x/T9LnUhlDJ+iSUw7SiPZlr+7cNon2ZTval726c9uk7t++biVlF1MBAAAAH0VKn0wFAAAAHCoS1ZCZfcHMloev58zsE22UKwof97oqfPxrTrpjPRRmNtLMnjezvWZ2XTvlsq593f1RvWZ2t5ltNrNX25huZnZb2L7lZlae7hgPlZkdY2Y1ZrbSzFaY2TUJymRz+3LN7EUz+5+wff+RoEy2b59RM1tmZn9KMC3b27bOzF4xs7+ZWW2C6Vm7bUqSmQ0ws9+aWV34HZwYNz1r22dmpeHn1vraYWb/Glcma9vXk5Co/sNaSae5+xhJ31Xb57D8UNIt7l4saZuCx8Bmg3ckXS3pJx2Uy6r2Wc94VO+9ks5oZ/qZkorD1+WSfpGGmDrLAUlz3P14SRMkXZng88vm9u2VVOnun5A0VtIZZjYhrky2b5/XSFrZxrRsb5skTXX3sW3cziibt01JulXSf7v7SEmf0Ic/x6xtn7vXh5/bWEnjJO2W9Pu4Ylnbvp6ERDXk7s+5+7ZwcImC+75+gJmZpEoFj3uVgse/npeeCD8ad9/s7i9J2t9WmSxtX7d/VK+7P6ME9xeOca6kX3tgiaQBZjY0PdF9NO6+wd1fDt83KfihjH+CXTa3z919ZzjYO3zFXxiQtdunmQ2TdLaku9ookrVtS1LWbptmdrikyQruviN33+fu78YVy9r2xTld0hp3Xx83vru0r1sjUU3sUkmPJRg/SNK74eNepcSPhc1m2dg+HtWb3DrIeOFh4RMlvRA3KavbFx4a/5ukzZL+6u5tti8Lt8+fSfo3SS1tTM/mtknBPxV/MbOlFjwhMV42b5vHSdoi6Z7w1I27zOywuDLZ3L5YF0j6TYLx3aV93RqJahwzm6ogUf16oskJxnWn2yZkY/uSiTkb23Uwsr59ZpYnab6kf3X3HfGTE8ySNe1z9+bw8OMwSRVmNjquSFa2z8zOkbTZ3Ze2VyzBuIxvW4xT3L1cwSHiK81sctz0bG5fL0nlkn7h7idK2iUp/hz/bG6fJCm8zmKmpEcSTU4wLqva1xP06ETVzK6MOdH6aDMbo+AQ1rnu/naCWbYqODTQev/ZRI+FzRjx7UtilqxqX+hgHtUra+dRvVksmXWQscyst4IkdZ67/y5BkaxuX6vwsOrT+vD5xtm6fZ4iaaaZrVNwyk2lmd0fVyZb2yZJcve3wr+bFZzfWBFXJJu3zUZJjTE9/L9VkLjGl8nW9rU6U9LL7r4pwbTu0L5ur0cnqu4+N+Zk616SfifpS+7+ehvlXVKNgse9SsHjX/+QlmAPQWz7Wne4HZTPqvaFeFRv0L6LwitYJ0ja7u4bujqoZITnK/6XpJXu/tM2imVz+wab2YDwfV9J0yTVxRXLyu3T3b/p7sPcfbiC791T7v7FuGJZ2TZJMrPDzCy/9b2kGZLi77yRtdumu2+U1GBmpeGo0yW9Flcsa9sX40IlPuwvdY/2dX/uzivYb96l4Cr3v4Wv2phpj0o6Onx/nKQXJa1WcCihT1fHnmT7hij473GHpHfD94d3h/ZJOkvS65LWSPr3cNyNkmaG73PDtqwO23ZcV8d8kO37jaQNCi6Ea1RwaspXJX01nG4K7nywRtIrksZ3dcwH0bZTFRxqWx7z3TurG7VvjKRlYftelXR9OL7bbJ9hG6ZI+lN3alu4L/yf8LUiZt/SLbbNMP6xkmrD7bNa0sBu1r5+kt6W1D9mXLdpX0958WQqAAAAZKQefegfAAAAmYtEFQAAABmJRBUAAAAZiUQVAAAAGYlEFQAAABmJRBUAAAAZiUQVADpgZjvbGH+jmU1LdzwA0FNwH1UA6ICZ7XT3vK6OAwB6GnpUAWQlMxtuZnVmdpeZvWpm88xsmpktNrNVZlYRvp4zs2Xh39Jw3n5m9rCZLTezh8zsBTMb30F9N5vZy2b2pJkNDsfda2afDd+vM7P/CMu8YmYjU78WAKB7I1EFkM1GSLpVwaNKR0r6vILHsl4n6VuS6iRNdvcTJV0v6XvhfFdI2ubuYyR9V9K4Duo5TNLL7l4uaaGk77RRbmtY5hdhDACAj6BXVwcAAB/BWnd/RZLMbIWkJ93dzewVScMl9Zf0KzMrluSSeofznaogwZW7v2pmyzuop0XSQ+H7+yX9ro1yreOXSvqng28OACAWPaoAstnemPctMcMtCv4R/66kGncfLenTknLD6fYR623r5P7W+ptFRwAAfGQkqgC6s/6S3gzffyVm/CJJ50uSmZVJOqGD5UQkfTZ8//lwfgBAipGoAujOfiTp+2a2WFI0ZvzPJQ0OD/l/XdJySdvbWc4uSaPMbKmkSkk3piheAEAMbk8FoMcxs6ik3u7+npl9XNKTkkrcfV8XhwYAiME5VAB6on6Sasyst4LzVf+ZJBUAMg89qgAQMrMXJPWJG/2l1jsLAADSi0QVAAAAGYmLqQAAAJCRSFQBAACQkUhUAQAAkJFIVAEAAJCRSFQBAACQkf4/yX0WZVhEVpsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "normalized_pivot = pivot.fillna(0).apply(lambda x: x/x.sum(), axis=1)\n",
    "ax = normalized_pivot.plot.bar(\n",
    "    stacked=True, rot=0, figsize=(10, 5),\n",
    "    title='Percentage of earthquakes by integer magnitude for each magType'\n",
    ")\n",
    "ax.legend(bbox_to_anchor=(1, 0.8)) # move legend to the right of the plot\n",
    "plt.ylabel('percentage') # label the axes (discussed in chapter 6)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
